facial recogn / video surveil

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</div><div>see clearview alt rt, arab, singapore</div><div>
<div>covid UK scuttled plans to use cell phone to track, but some scand govt doing it? 320</div><div>
</div><div>=</div><div><div times="Times" new="New" roman="Roman" font-size="font-size" large="large">=</div><div times="Times" new="New" roman="Roman" font-size="font-size" large="large"><a href="https://www.alternet.org/2021/11/facebook-facial-recognition/">https://www.alternet.org/2021/11/facebook-facial-recognition/</a></div><div times="Times" new="New" roman="Roman" font-size="font-size" large="large">but keep files/algo?</div><div times="Times" new="New" roman="Roman" font-size="font-size" large="large">
</div><div times="Times" new="New" roman="Roman" font-size="font-size" large="large">=</div></div><div>=an 121<h1 class="widgetheadline h1" style="margin: 10px 0px 0px; padding: 0px; font-size: 1em; font-family: Helvetica; color: rgb(31, 31, 31); cursor: pointer; overflow-wrap: break-word; background-color: rgb(255, 255, 255);"><a class="widgetheadline-text custom-post-headline" href="https://www.alternet.org/2021/01/antifa/" aria-label="Facial recognition company refutes viral conservative site's story used by GOP congressman to bolster bogus 'antifa' claim" data-type="text" open="Open" sans="Sans" sans-serif="sans-serif" word-break="word-break" break-word="break-word" outline="outline" px="px" overflow-wrap="overflow-wrap" font-size="font-size" line-height="line-height" style="color: rgb(11, 13, 101); text-decoration-line: none; opacity: 1; transition: color 0.25s ease 0s, background 0.25s ease 0s, opacity 0.25s ease 0s;">Facial recognition company refutes viral conservative site's story used by GOP congressman to bolster bogus 'antifa' claim</a></h1><div>---</div><div><a href="https://www.thewrap.com/washington-times-false-antifa-story-capitol-matt-gaetz/">https://www.thewrap.com/washington-times-false-antifa-story-capitol-matt-gaetz/</a>Washington Times corrected a story Thursday that falsely claimed Antifa members were identified among the right-wing mob that infiltrated the Capitol on Wednesday. The outlet also apologized [IE AVOIDED LAWSUIT // SMARTMATIC KRAKEN] to the facial recognition software company at the center of the piece, which was initially deleted Thursday afternoon before being reinstated with the correction.The story — which was referenced by Rep. Matt Gaetz when he suggested there was left-wing infiltration of the insurrectionists — is no longer on the Times’ site. The link to the piece redirects back to the Times’ home page. <a href="https://mobile.twitter.com/daveyalba/status/1347236876684582915" style="border-style: solid; border-width: 0px; box-sizing: inherit; line-height: inherit; margin: 0px; padding: 0px; background-repeat: no-repeat; touch-action: manipulation; text-decoration-line: none;">According</a> to New York Times reporter Davey Alba, the now-deleted article was the 11th most visited webpage in the U.S. over the last 24 hours.“Correction: An earlier version of this story incorrectly stated that XRVision facial recognition software identified Antifa members among rioters who stormed the Capitol Wednesday. XRVision did not identify any Antifa members. The Washington Times apologizes to XRVision for the error,” <a href="https://www.washingtontimes.com/news/2021/jan/6/xrvision-firm-claims-antifa-infiltrated-protesters/?update" style="background-color: rgb(255, 255, 255); border-style: solid; border-width: 0px; box-sizing: inherit; line-height: inherit; margin: 0px; padding: 0px; background-repeat: no-repeat; touch-action: manipulation; text-decoration-line: none;">says</a> the correction.<p class="ctx-link" style="border-style: solid; border-width: 1px 0px; box-sizing: inherit; line-height: inherit; margin: 16px 0px; padding: 16px; background-repeat: no-repeat; border-top-color: grey; border-bottom-color: grey; background-color: rgb(255, 255, 255);">Also Read:<a class="also-read-counter" href="https://www.thewrap.com/sean-hannity-brit-hume-other-conservatives-suggest-antifa-instigated-capitol-mob/" style="border-style: solid; border-width: 0px; box-sizing: inherit; line-height: inherit; margin: 0px; padding: 0px; background-repeat: no-repeat; touch-action: manipulation; text-decoration-line: none;">Rep. Gaetz, Sean Hannity and More Baselessly Suggest 'Antifa' Instigated Capitol Mob</a>On Thursday, Buzzfeed News <a href="https://www.buzzfeednews.com/article/craigsilverman/facial-recognition-antifa-washington-times-false" style="border-style: solid; border-width: 0px; box-sizing: inherit; line-height: inherit; margin: 0px; padding: 0px; background-repeat: no-repeat; touch-action: manipulation; text-decoration-line: none;">reported</a> that the facial recognition software at the heart of the Times’ story, XRVision, objected to the piece on the grounds that it was false. A lawyer for the company told Buzzfeed News that XRVision asked the Washington Times for a retraction and an apology.According to a <a href="https://apelbaum.wordpress.com/" style="background-color: rgb(255, 255, 255); border-style: solid; border-width: 0px; box-sizing: inherit; line-height: inherit; margin: 0px; padding: 0px; background-repeat: no-repeat; touch-action: manipulation; text-decoration-line: none;">statement</a> from XRVision CTO Yaacov Apelbaum, the original article claimed, “A retired military officer told The Washington Times that the firm XRVision used its software to do facial recognition of protesters and matched two Philadelphia antifa members to two men inside the Senate.”Apelbaum wrote, “XRVision didn’t generate any composites or detections for the Washington Times or for any ‘retired military officer,’ nor did it authorize them to make any such claims or representations. Additionally, The Washington Times never attempted to contact XRVision to verify their false claim prior publication.”He pointed out that XRVision did perform an analysis, which returned two matches linking participants in Wednesday’s riot to “Nazi organizations,” not Antifa.=</div></div><div>=<a href="https://www.alternet.org/2020/12/phrenology/" style="text-decoration-line: none; font-weight: bold; color: rgb(0, 51, 153); outline: none;">https://www.alternet.org/2020/12/phrenology/</a>aeon
'Phrenology' has an old-fashioned ring to it. It sounds like it belongs in a history book, filed somewhere between bloodletting and velocipedes. We'd like to think that judging people's worth based on the size and shape of their skull is a practice that's well behind us. However, phrenology is once again rearing its lumpy head.In recent years, machine-learning algorithms have promised governments and private companies the power to glean all sorts of information from people's appearance. Several startups now claim to be able to use artificial intelligence (AI) to help employers <a href="https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full" rel="nofollow noreferrer noopener" style="text-decoration-line: none; font-weight: bold; color: rgb(0, 51, 153); outline: none; opacity: 1; transition: color 0.25s ease 0s, background 0.25s ease 0s, opacity 0.25s ease 0s;">detect</a> the personality traits of job candidates based on their facial expressions. In China, the government has pioneered the use of surveillance cameras that identify and track ethnic minorities. Meanwhile, reports have emerged of schools installing camera systems that automatically sanction children for not paying attention, based on facial movements and microexpressions such as eyebrow twitches.Perhaps most notoriously, a few years ago, AI researchers Xiaolin Wu and Xi Zhang <a href="https://arxiv.org/abs/1611.04135v1" rel="nofollow noreferrer noopener" style="text-decoration-line: none; font-weight: bold; color: rgb(0, 51, 153); outline: none; opacity: 1; transition: color 0.25s ease 0s, background 0.25s ease 0s, opacity 0.25s ease 0s;">claimed</a> to have trained an algorithm to identify criminals based on the shape of their faces, with an accuracy of 89.5 per cent. They didn't go so far as to endorse some of the ideas about physiognomy and character that circulated in the 19th century, notably from the work of the Italian criminologist Cesare Lombroso: that criminals are underevolved, subhuman beasts, recognisable from their sloping foreheads and hawk-like noses. However, the recent study's seemingly high-tech attempt to pick out facial features associated with criminality borrows directly from the 'photographic composite method' developed by the Victorian jack-of-all-trades Francis Galton – which involved overlaying the faces of multiple people in a certain category to find the features indicative of qualities like health, disease, beauty and criminality.Technology commentators have panned these facial-recognition technologies as 'literal phrenology'; they've also linked it to eugenics, the pseudoscience of improving the human race by encouraging people deemed the fittest to reproduce. (Galton himself coined the term 'eugenics', describing it in 1883 as 'all influences that tend in however remote a degree to give to the more suitable races or strains of blood a better chance of prevailing speedily over the less suitable than they otherwise would have had'.)In some cases, the explicit goal of these technologies is to deny opportunities to those deemed unfit; in others, it might not be the goal, but it's a predictable result. Yet when we dismiss algorithms by labelling them as phrenology, what exactly is the problem we're trying to point out? Are we saying that these methods are scientifically flawed and that they don't really work – or are we saying that it's morally wrong to use them regardless?There is a long and tangled <a href="https://www.questia.com/library/journal/1P4-2077466723/something-old-something-new-something-pseudo-something" rel="nofollow noreferrer noopener" style="text-decoration-line: none; font-weight: bold; color: rgb(0, 51, 153); outline: none; opacity: 1; transition: color 0.25s ease 0s, background 0.25s ease 0s, opacity 0.25s ease 0s;">history</a> to the way 'phrenology' has been used as a withering insult. Philosophical and scientific criticisms of the endeavour have always been intertwined, though their entanglement has changed over time. In the 19th century, phrenology's detractors objected to the fact that phrenology attempted to pinpoint the location of different mental functions in different parts of the brain – a move that was seen as heretical, since it called into question Christian ideas about the unity of the soul. Interestingly, though, trying to discover a person's character and intellect based on the size and shape of their head wasn't perceived as a serious moral issue. Today, by contrast, the idea of localising mental functions is fairly uncontroversial. Scientists might no longer think that destructiveness is seated above the right ear, but the notion that cognitive functions can be localised in particular brain circuits is a standard assumption in mainstream neuroscience...</div><div>=</div><div><div class="header-list-style" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; position: relative; color: rgb(49, 49, 49); font-family: Cabin, sans-serif; font-size: 17px; background-color: rgb(255, 255, 255);"><h2 class="entry-title grid-title" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; font-size: 17px; font-family: " open="Open" sans="Sans" sans-serif="sans-serif" letter-spacing="letter-spacing" px="px"><a href="https://www.alternet.org/2020/09/oregon-becomes-first-us-city-to-ban-corporate-use-of-facial-recognition-surveillance/" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; color: rgb(49, 49, 49); transition: all 0.3s ease 0s; cursor: pointer; font-size: 18px; letter-spacing: 0px;">Portland becomes first US city to ban corporate use of facial recognition surveillance</a></h2><div class="grid-post-box-meta" style="box-sizing: border-box; outline: none; margin: 12px 0px 0px; padding: 0px; font-size: 12px;"><a href="https://www.alternet.org/author/jake-johnson/" title="Posts by Jake Johnson" class="author url fn" rel="author" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; color: rgb(49, 49, 49); transition: color 0.3s ease 0s; cursor: pointer; font-size: inherit;">Jake Johnson</a> / <a href="https://www.alternet.org/author/common-dreams/" title="Posts by Common Dreams" class="author url fn" rel="author" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; color: rgb(49, 49, 49); transition: color 0.3s ease 0s; cursor: pointer; font-size: inherit;">Common Dreams</a> September 10, 2020</div></div><div class="item-content entry-content" style="box-sizing: border-box; outline: none; margin: 18px 0px 0px; padding: 0px; color: rgb(49, 49, 49); font-family: Cabin, sans-serif; font-size: 17px; background-color: rgb(255, 255, 255);">In a historic move that privacy advocates said must be replicated nationwide, the Portland, Oregon city council on Wednesday unanimously approved a sweeping ban on the use of facial recognition…</div></div><div></div><div><a href="https://www.vox.com/recode/2020/7/28/21340674/face-masks-facial-recognition-surveillance-nist">https://www.vox.com/recode/2020/7/28/21340674/face-masks-facial-recognition-surveillance-nist</a></div><div>
</div><div>ai learn fast</div><div>
</div><div></div><div>some big co IBM? pulled out blm geo f? 6/10/20</div><div><div>=</div><div><a href="https://www.alternet.org/2020/06/silicon-valley-rips-off-the-mask-as-tech-ceos-veer-right-amid-political-turmoil/">https://www.alternet.org/2020/06/silicon-valley-rips-off-the-mask-as-tech-ceos-veer-right-amid-political-turmoil/</a></div><div>
</div><div>karlis</div><div>
</div><div>The times are a-changing in Silicon Valley. Once a reliable <a href="https://www.salon.com/2014/06/06/techs_toxic_political_culture_the_stealth_libertarianism_of_silicon_valley_bigwigs/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">bastion of libertarianism</a> from the CEOs at the top to the workers at the bottom, new schisms are forming between the workers and the owners — from white-collar software engineers <a href="https://www.salon.com/2020/02/18/kickstarters-union-victory-signals-a-shift-in-how-tech-workers-perceive-their-bosses/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">unionizing at Kickstarter</a> to <a href="https://www.salon.com/2018/11/01/how-the-google-employee-walkout-could-trigger-major-corporate-change/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">Googlers</a> and <a href="https://www.salon.com/2020/04/17/amazon-employees-call-for-online-walkout-to-protest-working-conditions-amid-coronavirus-pandemic/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">Amazon workers</a> publicly denouncing their executives.This article first<a href="https://www.salon.com/2020/06/05/silicon-valley-goes-mask-off-tech-ceos-veer-right-amid-political-turmoil/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;"> appeared in Salon</a>.Yet as employees have begun to wake up to the many ways in which their employers exploited them in exchange for nap pods and free snacks, the titans of industry themselves appear to be showing their true colors. The pandemic prompted mass layoffs and swift changes in policy for many tech titans; yet coupled with the anti-police racism protests, we are starting to see the far-right soul of Silicon Valley’s leaders — belying the stereotype of technology as synonymous with progressivism.Jeff Bezos, CEO of Amazon, profited tremendously off the pandemic, seeing his wealth <a href="https://www.salon.com/2020/05/15/as-bezos-wealth-jumps-30-billion-amid-pandemic-amazon-to-end-2-per-hour-hazard-pay-for-workers_partner/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">rise $30 billion</a>. Yet his empire still saw fit to <a href="https://www.salon.com/2020/05/15/as-bezos-wealth-jumps-30-billion-amid-pandemic-amazon-to-end-2-per-hour-hazard-pay-for-workers_partner/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">stop paying a $2 an hour</a> hazard pay bonus to its warehouse workers — a high-risk job. Putting them at risk has resulted in a <a href="https://www.cnn.com/2020/06/03/tech/amazon-lawsuit-coronavirus-warehouse/index.html" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">lawsuit</a> from warehouse workers, claiming the company put their families at risk.amazon continues to try and position itself as a progressive company, unlike other big corporations. Recently, Amazon tried to show solidarity with the Black Lives Matter movement by <a href="https://twitter.com/amazon/status/1267140211861073927?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1267140211861073927&ref_url=https%3A%2F%2Fwww.geekwire.com%2F2020%2Famazon-inequitable-brutal-treatment-black-people-country-must-stop%2F" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">tweeting</a> “the inequitable and brutal treatment of Black people in our country must stop. Together we stand in solidarity with the Black community — our employees, customers, and partners — in the fight against systemic racism and injustice.”There was a tinge of irony to the statement, given the company’s history of enabled authoritarian surveillance. To that end, the American Civil Liberties Union quickly <a href="https://www.salon.com/2020/06/01/amazon-is-not-an-ally-the-megalith-says-it-stands-in-solidarity-its-actions-say-otherwise/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">replied</a>: “Cool tweet. Will you commit to stop selling <a href="https://www.salon.com/2019/01/27/researchers-find-gender-and-racial-bias-in-amazons-facial-recognition-software-widely-used-by-cops/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">face recognition surveillance</a> technology that supercharges police abuse?”Bezos isn’t the only CEO who treats his workers with utter disregard for safety or health. Tesla Inc. In mid-May, CEO Elon Musk announced on Twitter that he was defying Alameda County <a href="https://www.acphd.org/media/572718/health-officer-order-20-10-shelter-in-place-20200429.pdf" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">shelter-in-place order</a> and restarting production at the Alameda County Tesla factory, which employs more than 10,000 people. On his Twitter account, Musk said he will be “on the [assembly] line with everyone else,” and stated that he was willing to be arrested for the noble “cause” of restarting production. Musk filed a <a href="https://techcrunch.com/2020/05/09/tesla-sues-alameda-county-to-force-california-factory-reopening/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">lawsuit against Alameda County</a> for injunctive relief and threatened to take his factory to another state, then took a jab at the Alameda County’s interim health officer, Dr. Erica Pan, whom Musk called “ignorant.”Previously, Musk expressed repeated disdain for the virus or the potential for a pandemic (i.e. “<a href="https://twitter.com/elonmusk/status/1236029449042198528" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">the coronavirus panic is dumb</a>“) mirroring much of the American right, who value economic activity over lives and pivoted their politics to that effect, in defiance of scientific evidence and models.The Trumpian head-in-sand attitude coming from Musk is unsurprising. As <a href="https://www.salon.com/2020/05/12/elon-musk-wants-his-workers-to-die-so-rich-people-can-buy-more-teslas/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">I’ve written before,</a> Musk and Trump have much in common: they’re both entitled, wealthy businessmen who profit off the backs of a vast underclass — which is why Musk played the victim card when his factory couldn’t operate during shelter-in-place.Mark Zuckerberg, CEO of Facebook, has shown bitter resistance in the face of evidence that his platform has become a fount of disinformation around both the coronavirus and the ongoing Black Lives Matter protests. In <a href="https://www.foxnews.com/media/facebook-mark-zuckerberg-twitter-fact-checking-trump" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">an interview</a> with Fox News last week, Zuckerberg said that he doesn’t believe social media platforms should become the “arbiter of truth”.“We have a different policy than Twitter on this,” Zuckerberg said in comments that first aired Wednesday. “I believe strongly that Facebook shouldn’t be the arbiter of truth of everything that people say online. I think in general private companies, or especially these platform companies, shouldn’t be in the position of doing that.”The comments mirror his <a href="https://www.salon.com/2017/10/02/mark-zuckerberg-says-hes-sorry-facebook-is-used-to-divide-people/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">attitude</a> in 2017, when he commented on Facebook’s role in fomenting political disinformation amid the 2016 election. “Personally I think the idea that fake news on Facebook, which is a very small amount of content, influenced the election in any way — I think that is a pretty crazy idea,” Zuckerberg <a href="https://www.salon.com/2017/10/02/mark-zuckerberg-says-hes-sorry-facebook-is-used-to-divide-people/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">said</a> then. “Voters make decisions based on their lived experience.”Zuckerberg’s attitude towards the role of social media in serving as an arbiter of truth differs from his peers at Snapchat and, recently, Twitter, which made an <a href="https://www.salon.com/2020/05/29/twitter-slaps-warning-on-trumps-tweet-calling-for-protesters-to-be-shot-for-glorifying-violence/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">about-face</a> in its policies around Trump’s <a href="https://www.salon.com/2020/05/27/donald-trump-just-issued-his-most-serious-threat-yet-to-free-speech/" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">sophistic tweets</a>. Twitter CEO Jack Dorsey fired back at Zuckerberg: “We’ll continue to point out incorrect or disputed information about elections globally. And we will admit to and own any mistakes we make. This does not make us an ‘arbiter of truth.’ Our intention is to connect the dots of conflicting statements and show the information in dispute so people can judge for themselves. More transparency from us is critical so folks can clearly see the why behind our actions.”Zuckerberg’s inaction with regard to censoring or labeling Trump’s misinformation has led up to unprecedented internal actions this week, l<a href="https://www.salon.com/2020/06/01/facebook-employees-protest-mark-zuckerbergs-cowardice-in-the-face-of-trump/" target="blank" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">ike employees staging a virtual walkout.</a> Facebook employees are <a href="https://www.vox.com/recode/2019/10/1/20894108/facebook-leak-intern-mark-zuckerberg" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">notorious</a> for their fealty to their CEO; internal leaks or dissent were <a href="https://www.vox.com/recode/2019/10/1/20894108/facebook-leak-intern-mark-zuckerberg" target="blank" rel="noopener" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">rare</a>, until recently.They say the bad times bring out the best in people. In that case, it’s certainly worth examining why Silicon Valley’s overlords appear to be a notable exception.</div><div></div></div><div><div></div><div><a href="https://www.salon.com/2020/05/18/emails-show-uc-santa-cruz-police-used-military-surveillance-to-suppress-grad-student-strike/">https://www.salon.com/2020/05/18/emails-show-uc-santa-cruz-police-used-military-surveillance-to-suppress-grad-student-strike/</a></div><div>
</div><div>Emails show UC Santa Cruz police used military surveillance to suppress grad student strike</div><div>
</div><section class="title-container" style="box-sizing: border-box; background-color: rgb(255, 255, 255);"><h2 style="box-sizing: border-box; margin-top: 0px; font-weight: lighter; line-height: 1.42;">UC police used "friendly force trackers" and FBI tech to surveil grad student strikers protesting for a living wage</h2></section><section class="writer-container" style="box-sizing: border-box; margin-bottom: 2em; padding: 0px 11px 0px 0px; background-color: rgb(255, 255, 255);"><h5 style="box-sizing: border-box; text-transform: uppercase; margin-top: 1em; margin-bottom: 0.5rem;"><a href="https://www.salon.com/writer/nicole-karlis" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">NICOLE KARLIS</a></h5><h6 style="box-sizing: border-box; text-transform: uppercase; padding-bottom: 0.5rem; margin: 0px;">MAY 18, 2020 11:45PM (UTC)</h6></section><article style="box-sizing: border-box; line-height: 1.9em;">The <a href="https://www.salon.com/2020/01/25/do-i-do-research-or-pay-rent-grad-students-in-santa-cruz-start-a-wildcat-strike/" target="blank" style="box-sizing: border-box; text-decoration-line: none;">University of California at Santa Cruz</a> (UCSC) Police Department, with assistance from the Alameda County Sheriff's Office and the California National Guard, used military surveillance to suppress the UC Santa Cruz <a href="https://www.salon.com/2020/01/25/do-i-do-research-or-pay-rent-grad-students-in-santa-cruz-start-a-wildcat-strike/" target="blank" style="box-sizing: border-box; text-decoration-line: none;">graduate student</a> <a href="https://www.salon.com/2020/03/04/not-surprising-but-yet-unbelievable-uc-santa-cruz-students-fired-over-wildcat-strike/" target="blank" style="box-sizing: border-box; text-decoration-line: none;">wildcat strike</a> earlier this year, according to emails acquired through the California Public Records Act.<a href="https://www.vice.com/en_us/article/7kppna/california-police-used-military-surveillance-tech-at-grad-student-strike" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">Vice first reported</a> the content of the emails on May 15 which provided insight into the coordinated efforts between the UC Santa Cruz Police Department, Alameda County Sheriff's Office, and the California Governor's Office of Emergency Services, to police the protests. As Salon has <a href="https://www.salon.com/2020/01/25/do-i-do-research-or-pay-rent-grad-students-in-santa-cruz-start-a-wildcat-strike/" target="blank" style="box-sizing: border-box; text-decoration-line: none;">previously reported</a>, police and campus officials reacted to the nonviolent labor action with <a href="https://www.salon.com/2020/01/25/do-i-do-research-or-pay-rent-grad-students-in-santa-cruz-start-a-wildcat-strike/" style="box-sizing: border-box; text-decoration-line: none;">threats</a>, arrests, <a href="https://www.salon.com/2020/03/04/not-surprising-but-yet-unbelievable-uc-santa-cruz-students-fired-over-wildcat-strike/" style="box-sizing: border-box; text-decoration-line: none;">firings</a>, and violence from the police with batons, according to <a href="https://www.salon.com/2020/02/11/santa-cruz-graduate-students-striking-for-a-living-wage-are-met-with-threats-and-batons/" style="box-sizing: border-box; text-decoration-line: none;">grad students at the strike</a>, for months as grad students demanded a Cost-of-Living Adjustment (COLA) to help alleviate the <a href="https://www.salon.com/2020/01/25/do-i-do-research-or-pay-rent-grad-students-in-santa-cruz-start-a-wildcat-strike/" target="blank" style="box-sizing: border-box; text-decoration-line: none;">rent burden</a> of living in a pricey coastal California town. The new emails, which have been reviewed by Salon, dive deeper into the efforts to police the protests that went beyond what the grad students observed on the picket line. They show the UC Santa Cruz Police Department requested mutual aid from the Alameda County Sheriff's Office to police the protests as early as December 31. Notably, UC Santa Cruz is located in Santa Cruz County, not Alameda County — which is about 40 miles north."It's disturbing to be part of a labor action like this and to see the militarized nature of the university's response," Will Parrish, a PhD student in UCSC's History of Consciousness program, told Salon in an interview. "I felt disturbed to see both the level of militarization and the casualness of their discussions in their email threads."Specifically, the UCSC Police Department requested deputies, trucks and vans in the case of arrests. All expenses, including food and lodging, were paid for by UCSC police for at least 65 officers. At the time, grad students were on a wildcat strike, withholding final grades for the fall quarter until their demand for a Cost-of-Living Adjustment (COLA) was met. Withholding grades evolved into a full wildcat teaching strike in February, meaning they withheld teaching, grading, and office hours, as their demands continued to be dismissed.According to emails dated February 11 and 13, the California National Guard provided "friendly force trackers," which is a military surveillance technology, as part of the effort. Police also had access to a federal surveillance portal operated by the FBI <a href="https://www.fbi.gov/services/cjis/leep" target="blank" style="box-sizing: border-box; text-decoration-line: none;">called LEEP</a>, an acronym for "Law Enforcement Enterprise Portal." The FBI's page on LEEP describes it as "a secure platform for law enforcement agencies, intelligence groups, and criminal justice entities" that "provides web-based investigative tools and analytical resources" to help said groups "collaborate in a secure environment, use tools to strengthen their cases, and share departmental documents." Some of the sample use cases for LEEP that the FBI cites include "active shooter incidents," "child abductions" and "takedown operations." The emails don't specify exactly how these technologies were used, nor do they specify the amount spent on the efforts. However, grad students believe that it could be in the millions."Rather than meet us at the bargaining table the UC instead spent close to five million dollars in deploying dozens of UCPD from across the state, California Highway Patrol, and Alameda County sheriffs, and even solicited assistance from counterterrorism intelligence agencies," UCSC Literature PhD student Hannah Newburn said in a statement. "Since when did asking for a raise become a threat to Homeland Security?"Carlos Cruz, a UCSC PhD student in the history department, told Salon he was given evidence, and an audio clip that Salon listened to, to add to speculation that he was being surveilled by police during the protests. In the audio clip, presumably a police officer is stating Cruz's whereabouts and said his name "Carlos." He also had an alarming in-person encounter with a sergeant."I had a sergeant who was able to identify me by first, middle and last name and date of birth," Cruz said, adding there were racist undertones to the exchange. "It's really scary to see how they got my info and knew who I was."In an emailed statement to Salon, Scott Hernandez-Jason, the Director of News and Media Relations at UC Santa Cruz, told Salon: "Throughout the strike, UC Santa Cruz police officers were focused on supporting the safety of our community on and off campus and protecting the rights of everyone in our campus community, including those engaged in expressive activity."Hernandez-Jason said the department used the trackers "to know the location of on-duty officers who were helping keep people safe.""To infer anything else about the use of the trackers would be erroneous. UC Santa Cruz is built across 2,000 acres of hilly land with two entrances, so understanding the location of officers was vital to coordinate their efforts," Hernandez-Jason said. "There was no tracking of students or strikers."The emails also revealed that after Sen. Bernie Sanders (I-Vt.) <a href="https://twitter.com/berniesanders/status/1230288311006134274?lang=en" style="box-sizing: border-box; text-decoration-line: none;">tweeted on February 19</a> in support of striking graduate students at UC Santa Cruz, an officer from the Governor's Office of Emergency Services emailed the California State Threat Assessment Center commander Eli Owen to request assistance to "verify/validate Mr. Sanders schedule." The email referred to the tweet as "intel" that Sanders might appear on the UC Santa Cruz campus.Hernandez-Jason said about this email that "UC Santa Cruz was paying attention to his publicly posted campaign schedule so that it could begin planning in case he chose to visit the campus."This isn't the first time military tactics have been used to spy on protesters. <a href="https://theintercept.com/2018/03/19/black-lives-matter-fbi-surveillance/" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">The Intercept</a> previously reported on how FBI emails and intelligence reports suggested federal surveillance of Black Lives Matter protests. Similar surveillance happened in the 1960s and 1970s <a href="https://www.thenation.com/article/archive/spying-protesters/" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">during anti-war protests.</a> Sara Hinkley, a Policy Research Specialist at <a href="http://laborcenter.berkeley.edu/" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">UC Berkeley Labor Center</a>, told Salon in an emailed statement that whether such a move was worth it for UCSC will be calculated by how tarnished its reputation is for the handling of the wildcat strike."In the case of UC, the loss of reputation and academic stability will likely have repercussions for many years," Hinkley said. "It's unfortunate that they chose to treat their own students and employees as an enemy meriting military surveillance."Hinkley added: "I think it's likely that decision will end up costing them much more than if they had recognized the students' demands and fairly bargained a solution to the real financial stress that graduate students are experiencing."</article><section class="writer-container" style="box-sizing: border-box; margin-bottom: 2em; padding: 0px 11px; background-color: rgb(255, 255, 255);"><h3 style="box-sizing: border-box; text-transform: uppercase; line-height: 1em;">NICOLE KARLIS</h3>Nicole Karlis is a news writer at Salon. She covers health, science, tech and gender politics. Tweet her <a href="http://www.twitter.com/nicolekarlis" style="box-sizing: border-box; text-decoration-line: none; background-color: transparent;">@nicolekarlis</a>.</section><div></div></div><div><div style="font-size: small; background-color: rgb(255, 255, 255);"></div><div style="font-size: small; background-color: rgb(255, 255, 255);">
</div><div style="font-size: small; background-color: rgb(255, 255, 255);"><a href="https://www.huffpost.com/entry/clearview-ai-facial-recognition-alt-right_n_5e7d028bc5b6cb08a92a5c48" style="text-decoration-line: none; font-weight: bold; color: rgb(0, 51, 153); outline: none;">https://www.huffpost.com/entry/clearview-ai-facial-recognition-alt-right_n_5e7d028bc5b6cb08a92a5c48</a></div><div style="font-size: small; background-color: rgb(255, 255, 255);">
</div><div style="font-size: small; background-color: rgb(255, 255, 255);"><div>long many lnx pix docs?</div><div>
</div><div>Far-Right Helped Create The World’s Most Powerful Facial Recognition Technology</div><div>Clearview AI, which has alarmed privacy experts, hired several far-right employees, a HuffPost investigation found.</div><div>
</div><div>By Luke O’Brien</div><div>04/07/2020 </div><div>
</div><div>Advanced facial recognition technology poses a mortal threat to privacy. It could grant the government, corporations and even average citizens the ability to capture a photo of anybody and, with a few keystrokes, uncover all kinds of personal details. So when The New York Times published an exposé about a shadowy facial recognition firm called Clearview AI in January, it seemed like the worst nightmare of privacy advocates had arrived.</div><div>
</div><div>Clearview is the most powerful form of facial recognition technology ever created, according to the Times. With more than 3 billion photos scraped surreptitiously from social media profiles and websites, its image database is almost seven times the size of the FBI’s. Its mobile app can match names to faces with a tap of a touchscreen. The technology is already being integrated into augmented reality glasses so people can identify almost anyone they look at.</div><div>
</div><div>Clearview has contracts with Immigration and Customs Enforcement and the U.S. Attorney’s Office for the Southern District of New York, BuzzFeed reported earlier this year, and FBI agents, members of Customs and Border Protection, and hundreds of police officers at departments nationwide are among its users. </div><div>
</div><div>With the coronavirus pandemic increasingly throwing the country into chaos and President Donald Trump moving to expand domestic surveillance powers ? in theory, to better map disease spread ? Clearview has sought deeper inroads into government infrastructure and is now in discussions with state agencies to use its technology to track infected people, according to The Wall Street Journal.</div><div>
</div><div>Even if you’ve never heard of Clearview, you likely have an online presence — maybe a friend or a relative has posted a photo of you to Facebook — which means you’re probably in its database. Clearview’s CEO and co-founder, Cam-Hoan Ton-That, and his associates chose to mass-violate social media policies against scraping accounts to build an image warehouse of unprecedented size, as several outlets have noted recently.</div><div>
</div><div>What hasn’t been reported, however, is even scarier: Exclusive documents obtained by HuffPost reveal that Ton-That, as well as several people who have done work for the company, have deep, longstanding ties to far-right extremists. Some members of this alt-right cabal went on to work for Ton-That.</div><div>
</div><div>Clearview stated that it had immediately parted ways with some of these people when HuffPost reached out for comment for this story, but the pervasive links between the company and the alt-right can’t be simply dismissed as a few bad apples.</div><div>
</div><div>Big Brother, it turned out, was wearing a MAGA cap.</div><div>
</div><div>A Mysterious Hacker</div><div>
</div><div>Little is known about Ton-That, a 31-year-old Australian hacker who moved to San Francisco in 2007. He made a name for himself two years later by unleashing a computer worm that phished the login credentials of Gmail users. Ton-That showed no remorse after journalists traced the worm to him— he simply set up another phishing site. </div><div>
</div><div>By 2015, he had joined forces with far-right subversives working to install Trump as president. They included Mike Cernovich, a Trump-affiliated propagandist who spearheaded the near-deadly Pizzagate disinformation campaign; Andrew “weev” Auernheimer, a neo-Nazi hacker and the webmaster for The Daily Stormer; and Pax Dickinson, the racist former chief technology officer of Business Insider who went on to march with neo-Nazis in Charlottesville, Virginia.</div><div>
</div><div>In this far-right clique, two of Ton-That’s associates loomed larger than most thanks to their close connection to billionaire Peter Thiel, a Facebook board member and Trump adviser: Jeff Giesea, a Thiel protégé and secret funder of alt-right causes, and Charles “Chuck” Johnson, a former Breitbart writer and far-right extremist who reportedly coordinated lawfare against media organizations with Thiel. And according to new documents obtained by HuffPost, Johnson appears to have received funding from Thiel for a startup that the Southern Poverty Law Center would label a “white nationalist hate group.” (Johnson has filed suit against HuffPost in Texas over a January 2019 article about his visits to members of Congress to discuss “DNA sequencing.”)</div><div>
</div><div>People involved with Clearview appear to have gone to great lengths to conceal their links to the company and each other. Johnson, for instance, does not appear on any of the incorporation documents and has left little public trace of his association with Ton-That beyond a Facebook post. But multiple far-right sources who know Johnson told HuffPost that he and Ton-That were in close contact at least as early as 2016, and that Johnson told them he was working with Ton-That on facial recognition.</div><div>
</div><div>Johnson told one source late that year that he viewed the technology as a way to potentially “identify every illegal alien in the country.” In early 2017, Johnson introduced Ton-That to another source, saying he was a gifted coder he’d hired to build the facial recognition tool. Around the same time, Johnson stated on Facebook that he was “building algorithms to ID all the illegal immigrants for the deportation squads.”</div><div>
</div><div>Video and private messages obtained by HuffPost confirm that Johnson and Ton-That were collaborating on far-right schemes in 2016; by early 2017 at the latest, they were in contact about scraping social media platforms for the facial recognition business. At least two people who worked for Johnson took jobs with and worked for Clearview until late March, when the company claims to have severed ties with them after HuffPost reached out with questions.  </div><div>
</div><div>Thiel himself has an obvious interest in mass surveillance: Palantir, his data-mining behemoth, aggregates enormous amounts of personal information about immigrants and undocumented workers, and it provides the analytical tools for ICE raids. In 2017, Thiel became one of Clearview’s earliest investors. He did not respond to questions sent to him and his spokesperson.   </div><div>
</div><div>Like other tech products scaled in dodgy ways, Clearview may have grown too big to rein in. Every time police use Clearview, they upload images of people they’re trying to identify ? even child sex abuse victims ? to Ton-That’s unregulated and ever-expanding database, where they are stored indefinitely.</div><div>
</div><div>No federal laws exist to govern the use of facial recognition. “The weaponization possibilities of this are endless,” Eric Goldman, co-director of the High Tech Law Institute at Santa Clara University, told the Times.</div><div>
</div><div>Clearview also appears to spy on law enforcement searches. After a Times reporter had police officers run her photo through the app, the officers received calls from Clearview representatives asking if they were speaking to a journalist. The potential for abuse is vast. </div><div>
</div><div>“The fear is that the kind of authoritarian control this [tool] will grant will wind up in the hands of the wrong people,” said Liz O’Sullivan, the technology director at the nonprofit Surveillance Technology Oversight Project.</div><div>
</div><div>Like, for instance, a Clearview contractor who is fond of disseminating Third Reich propaganda about Jews. The same extremist, with whom Ton-That now claims to have parted ways, was instrumental in helping sow disinformation from Kremlin operatives in 2016 to assist the Trump campaign. A Clearview “investigator” who appeared to work for the company until late March is part of a D.C.-based white nationalist crew that gathers in secret.</div><div>
</div><div>Yet another Clearview employee who left the company after an inquiry from HuffPost is a Croatian-born extremist who wrote in 2015 that he “wholeheartedly endorse[s] racism, racialism, ethnocentrism, Islamophobia, Eurocentrism and anti-Semitism.” Writing under a pseudonym on various blogs, he had embraced the possibility of balkanizing America, which could allow authoritarian states such as Russia or China to fill the power vacuum.</div><div>
</div><div>“For a stable and sustainable global order to exist,” he wrote, “the United States Government as we know it must be destroyed.”</div><div>
</div><div>A White National Convention</div><div>
</div><div>In July 2016, far-right extremists descended on Cleveland for the Republican National Convention. The alt-right’s intellectual figurehead, Richard Spencer, was there, as was Cernovich. So was Johnson, who at the time was running GotNews, a site that employed white nationalists to crank out race-baiting content for Trump supporters. Peter Brimelow, the publisher of the white nationalist VDARE, showed up. British political saboteur Milo Yiannopolous attended a “twinks for Trump” party that featured anti-Muslim speakers such as Pamela Geller and Geert Wilders.</div><div>
</div><div>One night, Spencer attended a dinner with Johnson and other members of the far-right at an upscale Italian restaurant. He found himself sitting at a table with Ton-That, a striking figure with long black hair. The hacker arrived at the dinner with Johnson after they’d caused a minor fracas. They’d harassed Michelle Fields, a former Breitbart reporter who’d had her arm roughly grabbed at a Trump rally a few months earlier by the candidate’s then-campaign manager, Corey Lewandowski. At the RNC, Johnson chased after Fields in the street until her fiancé shoved him away. The incident was captured in a video uploaded to Johnson’s GotNews YouTube channel. In the background, you can see Ton-That with Johnson, laughing as Fields scrambles away. (Fields worked for HuffPost at the time.) Over dinner that night, the hacker was more subdued.</div><div>
</div><div>“He was smart,” Spencer told HuffPost of Ton-That. “He was into this esoteric reactionary sphere stuff. I remember he was talking about celibacy and the priestly order being celibate and thinking for the group and not having mundane concerns. He was into quasi-Catholic neo-trad[itional] reactionary type stuff.”</div><div>
</div><div>The neoreactionary movement, also known as “NRx” or “Dark Enlightenment,” is a geeky subset of the racist, misogynistic far-right that has festered in Silicon Valley’s libertarian circles for over a decade, especially within the cryptocurrency community. Its members revere Thiel, microdose LSD and gussy up totalitarian ideas with a pseudo-intellectualism that creates a moral pretext for them to undermine ? “engineer,” they might say ? democracy. With tech skills and access to vast wealth, they have an influence that has eluded the bookish young men in Spencer’s orbit. Ton-That had been affiliated with this neoreactionary confederacy since before the 2016 RNC. </div><div>
</div><div>The movement’s high priest, Curtis Yarvin, is a programmer who goes by “Mencius Moldbug” and has a cryptocurrency startup funded by Thiel. Yarvin, who seemingly endorses slavery and has written approvingly of apartheid, has argued the U.S. would be better off if ruled by a CEO-king. To make this happen, he advocates for a soft coup. Among neoreactionaries, Trump is often referred to as the “God-Emperor” who will restore order to an immigrant-flooded nation under the thumb of a progressive media-academic complex ? “global Jewry,” in neo-Nazi-speak. </div><div>
</div><div>Giesea, whose ties to Thiel go back decades, organized the dinner in Cleveland. As a student, he edited Thiel’s libertarian newspaper, The Stanford Review. He later worked for Thiel’s first hedge fund, and then for Koch Industries’ public affairs office. Thiel put up seed money when Giesea started his own company.</div><div>
</div><div>Ahead of the 2016 election, Giesea worked closely with Cernovich to help organize a social media insurgency that could direct the far-right’s energy toward a singular purpose: getting Trump elected. Their network amplified extremists, besmirched opponents and disseminated Kremlin-boosted disinformation.</div><div>
</div><div>
</div><div>Jeff Giesea talks politics in a Periscope video.]</div><div>
</div><div>In a “How to Fund the Alt-Right” guide posted online in 2016 under an alias Giesea used, donors were encouraged to give money to white nationalist and neo-Nazi organizations. (“Not me at all,” Giesea said. “I don’t know who did that.”) The guide stressed the importance of anonymity and recommended donors use Bitcoin and PayPal, the online money transfer company founded by Thiel.</div><div>
</div><div>Spencer said Giesea donated $5,000 ? the maximum amount that didn’t require donor disclosure to the IRS ? to his white nationalist organization, the National Policy Institute, in 2016. (“No comment,” Giesea said.) Spencer told HuffPost that he later came to feel as if Giesea was trying to use the energy of the alt-right for political subversion and profit.</div><div>
</div><div>Auernheimer, the neo-Nazi hacker, described Giesea in a private Discord chat as a “major investor providing help to racists … a hugely connected dude … with lots of business interests who was supporting [T]rump stuff.” (“That’s not true,” Giesea said.)</div><div>
</div><div>At Giesea’s dinner in Cleveland, conversation turned, inevitably, to building the ethnostate, according to Katie McHugh, a former Breitbart editor who attended the event and has since renounced far-right extremism. A group of Hispanic waiters in earshot looked on warily. Someone at the table apologized to them. The waiters laughed nervously. Then the extremists, Ton-That among them, set out into the night to put their plans into motion.</div><div>
</div><div>Chuck Johnson’s Online Hatefest</div><div>If you were a hip far-right elitist in 2016, the online place to be was a Slack channel Johnson set up for WeSearchr, a now-shuttered crowdfunding platform he had launched. In private messages between Johnson and McHugh from 2015, Johnson described a meeting with Thiel that year to pitch his crowdfunding idea.</div><div>
</div><div>“Thiel gave me all the money I need,” Johnson said. “[W]rote me a check on the spot.” </div><div>
</div><div>Thiel declined to comment.</div><div>
</div><div>WeSearchr raised bounties for alt-right causes and would soon earn the designation of “white nationalist hate group” from the SPLC.</div><div>
</div><div>Johnson had a well-deserved reputation as a troll, but he was also a central node in a web of extremists. And he had many enemies ? the social media companies that took away his platforms, the news outlets that exposed him, the liberal society that he was convinced had allowed minorities to get into Harvard at his expense.</div><div>
</div><div>“When I met Chuck, I wondered why we weren’t weaponizing people like him,” Giesea told BuzzFeed.</div><div>
</div><div>Giesea belonged to Johnson’s WeSearchr Slack. So did Cernovich. And so did Ton-That. </div><div>
</div><div>Altogether, there were about 400 people in the channel, according to McHugh, who was a member and provided HuffPost with several dozen messages from the channel. The group was a who’s who of racist political saboteurs and moneyed terraformers of society, with a sprinkling of alt-right celebrities like George Zimmerman, who joined the channel in June 2016 and was auctioning off the weapon he used to kill Trayvon Martin. Johnson, who had deemed Zimmerman a “great man,” published a GotNews post to drive up the price of “the mighty gun that slain the dindu.” </div><div>
</div><div>
</div><div>Far-right politics brought George Zimmerman and Chuck Johnson together, as illustrated by this social media post of the two discovered by Little Green Footballs, a blog that has been tracking Johnson for years.]</div><div>
</div><div>Ton-That shared his far-right views in the WeSearchr Slack, as well as online more broadly. He has since deleted his social media accounts, but archives of his Twitter exchanges from 2015 and 2016 show him spreading anti-liberal talking points and Islamophobia, as well as amplifying figures like Yiannopolous. </div><div>
</div><div>He was clearly reading/listening to pretty trashy conservative media, and/or pretty trashy conservative people.</div><div>Ben Wheeler, a coder in New York, about Clearview co-founder Cam-Hoan Ton-That</div><div>Ben Wheeler, a coder in New York who met Ton-That in 2015 through programmer pals, called out the Australian for tweeting far-right conspiracies in the run-up to the 2016 election. </div><div>
</div><div>“He had some very inaccurate takes on [Hillary] Clinton, he was clearly reading and talking to people in the Breitbart vein,” Wheeler wrote in a message to HuffPost. “[A]s an example of her corruption, he pointed to the ways he said the Clintons used Chelsea Clinton’s wedding to embezzle money. I looked that up and it was one of those almost certainly false claims from one untrustworthy source. He was clearly reading/listening to pretty trashy conservative media, and/or pretty trashy conservative people.”</div><div>
</div><div>One of these people was likely Andrew Auernheimer, the webmaster for The Daily Stormer, the most popular neo-Nazi website. Another member of the WeSearchr Slack channel and a close collaborator with Johnson, Auernheimer devoted ample time to boosting both Johnson’s crowdfunding platform and his extremist friends.</div><div>
</div><div>Aurenheimer told HuffPost that he had “never heard of” Ton-That. But in 2015, he appeared to interact publicly with him on Twitter to bemoan the number of liberals in academia, a conversation HuffPost was able to piece together by looking at replies to the two alt-right members that remain online.</div><div>
</div><div>Auernheimer spoke often of his desire to slaughter Jewish children, start a race war and destroy the United States. He landed in federal prison in 2013 on identity fraud and hacking charges. After his conviction was vacated on a jurisdictional technicality, he reentered society with a giant swastika on his chest. He declared himself a neo-Nazi on The Daily Stormer and called for government agents and their families to be assassinated. He left the country and vowed revenge on America. “I plan on coming back with an army, be it human or automaton,” he wrote. He now claims to be based in Transnistria, a breakaway region of Moldova aligned with Moscow and beyond the reach of U.S. extradition treaties.</div><div>
</div><div>
</div><div>Andrew “weev” Auernheimer publicly declared himself a neo-Nazi in 2014 in a post on The Daily Stormer, which included this picture.]</div><div>
</div><div>Like Ton-That, Auernheimer also had an interest in biometrics. Around the time of the 2016 RNC, he told a friend that he was “working on facial recognition, specifically about black people.” When contacted by HuffPost, Auernheimer clarified that he’d been “building a racial, not facial, recognition project [that] took characteristics from the entire body, not just the face.” At the time, the system had been too costly to mount on drones, he said, but he planned to revisit the idea soon. Auernhemier could not provide any proof to support his statements. Ton-That told HuffPost that Clearview had nothing to do with the neo-Nazi.</div><div>
</div><div>“I never met him and he did no work for the company,” Ton-That said.</div><div>
</div><div>But Auernheimer had worked closely with Johnson for years, and he, too, claimed a connection to Thiel. A month after being released from prison in 2014, Auernhemier told a hacker friend in direct messages that he was “meeting with Peter Thiel’s right hand.” (Auernheimer denied making this claim, but HuffPost authenticated the messages with their recipient. Thiel didn’t respond to questions for this story.)</div><div>
</div><div>That same year, Auernheimer teamed up with Johnson to mine the leaked database of the Ashley Madison infidelity website for kompromat. They partnered again in 2015 to publish covertly recorded smear videos of Planned Parenthood officials. (Auernheimer told HuffPost he and Johnson “have nothing to do with each other” and are “radically opposed politically and socially.” HuffPost obtained numerous friendly emails they had exchanged.)</div><div>
</div><div>Johnson frequently collaborated with Giesea as well. In one especially inglorious caper, they arranged for Bill Clinton’s sexual assault accusers and Barack Obama’s Trump-supporting half-brother Malik to appear at the 2016 general election debates. “Malik Obama, getting him to endorse Trump, they brought him to Giesea’s apartment and just gave him cash,” Spencer said. “At least, that’s what Giesea told me.” (“I don’t recall any of that,” Giesea told HuffPost.)</div><div>
</div><div>When HuffPost reached Malik Obama in Kenya to ask if he’d taken money from Johnson and his associates to promote Trump, Obama responded by saying, “Donald Trump is the best president America ever had and Charles Johnson is my friend.”</div><div>
</div><div>But Johnson always had bigger plans than Malik Obama. He’d filled his black book with the names of far more important people whose coattails he could ride: Republican Sen. Ted Cruz of Texas; xenophobic commentator Ann Coulter; Blackwater founder Erik Prince; high-profile attorney Alan Dershowitz — and Ton-That, whose technical ability offered Johnson a different pathway to power. They were the same age, with the same focus, fighting the same internet culture war.</div><div>
</div><div>In one WeSearchr Slack exchange, Johnson linked to an article about the aggressive stock trading habits of Rep. Judy Chu (D-Calif.), calling her “one of the best day traders ever.”</div><div>
</div><div>“Of course,” Ton-That replied, “it’s a chink.”</div><div>
</div><div>They also agreed on target selection. The WeSearchr Slack members reserved a good portion of their animus for Gawker, a publication that had aggressively covered Thiel and his business interests. Thiel had furtively bankrolled numerous lawsuits against the blog ? the most notable being an invasion of privacy case filed by former professional wrestler Terry “Hulk Hogan” Bollea after Gawker published a portion of sex tape he was in.</div><div>
</div><div>The alt-right backed Thiel to the hilt. WeSearchr co-founder Pax Dickinson urged members of Johnson’s Slack channel to compile a list of Gawker employees and feed it to neo-Nazi trolls on far-right websites such as 4chan. “Let them do the contacting,” Dickinson wrote of the trolls, seemingly aware that his plan could lead to harassment.</div><div>
</div><div>Johnson had his own vendetta against Gawker, which had covered him critically and in one instance mocked him over a rumor that he defecated on a floor in college. Johnson had sued Gawker for defamation and later reached a confidential settlement with the blog. “In a just world, I’d have them killed,” Johnson said of Gawker and its CEO, Nick Denton. “But we are not there yet.”</div><div>
</div><div>Johnson, however, was in a position to crowdfund a WeSearchr bounty to sniff out plagiarism at Gawker, an ultimately fruitless quest. Ton-That, whom Gawker had also covered critically after his phishing scams seven years earlier, jumped at the chance.</div><div>
</div><div>“[W]ho else is working on gawker plagiarism & wants to collaborate?” he messaged the channel at the beginning of June 2016. “[I]’m scraping all their articles right now.”</div><div>
</div><div>On June 10, 2016, Gawker filed for Chapter 11 bankruptcy and put up its assets for sale. A few days later, Cernovich posted a photo of Ton-That and Johnson having a meal, both of them flashing the “OK” sign that has become a popular hand gesture for white nationalists in the Trump era.</div><div>
</div><div>Chuck Johnson and Hoan Ton-That flash the “OK” sign over a meal in 2016.]</div><div>
</div><div>When BuzzFeed confronted Ton-That about the photo, he claimed he was “only making the Okay sign in the photo as in ‘all okay.’” That August, Ton-That messaged the WeSearchr channel with an idea to crash a “funeral” party Gawker employees were throwing to mourn the demolition of their publication. “Wish I had a hulkomania shirt,” he wrote.</div><div>
</div><div>It was during this period of his life, ensconced among extremists online and off, that Ton-That began building the company that would become Clearview. </div><div>
</div><div>In 2016, the Australian hacker brought on two unnamed engineers to help him on the project, according to The New York Times. Ton-That refused to give HuffPost their names. One helped design a program to scrape images of faces from a range of sites and social media platforms, often in violation of their policies. The other created a facial recognition algorithm.</div><div>
</div><div>The Birth Of ‘Smartcheckr’ </div><div>
</div><div>On election night, Ton-That partied with Johnson and Dickinson in New York amid a sea of red MAGA caps. Two days later, Johnson posted a news story from The Sun to his Facebook. It included a photo of Dickinson and Ton-That celebrating bawdily. “My business partners are in the Sun and I feel left out,” Johnson wrote.</div><div>
</div><div>Far-right extremist Pax Dickinson celebrates Donald Trump’s election in 2016 with Hoan Ton-That in New York City.]</div><div>
</div><div>Johnson was very likely referring to a business that was registered in New York a few months later and followed the same naming convention as WeSearchr: Smartcheckr. The company would eventually rebrand as Clearview, as Ton-That later told the Times.</div><div>
</div><div>In January 2017, Johnson indicated on Facebook that he was “building algorithms to ID all the illegal immigrants for the deportation squads.” Soon, he was boasting to friends and acquaintances that he was working on a powerful facial recognition tool.</div><div>
</div><div>
</div><div>Chuck Johnson dropped hints on Facebook in January 2017 that he was working on a facial recognition project.</div><div>
</div><div>A person who used to be close to Johnson and requested anonymity out of concern for their safety told HuffPost that they saw him “with a whole bunch of really important people” at Trump Hotel in spring 2017, “and he was going on and on about this facial recognition software he had hired people to build.” Johnson, they added, was with one of these hires ? “some coding wizard” with long hair in a ponytail. “He kept introducing him as a prodigy who was building the software,” the source recalled. When HuffPost showed the source photos of Ton-That, they confirmed he was the man with Johnson. “If it’s not him, that’s his twin.”</div><div>
</div><div>Not long after the election, McHugh got a call from Johnson. “He told me they had a way to identify every illegal alien in the country,” she said. “He brought up facial recognition technology and demanded I call Stephen Miller because he knew Stephen Miller was a true believer.” </div><div>
</div><div>It’s unclear if Johnson ever spoke to Miller, the architect of Trump’s brutal immigration policy. But around the same time, Johnson was working behind the scenes with Giesea and Thiel ? a member of the transition executive committee ? to recommend alt-right candidates for science and technology appointments with the incoming administration, according to Forbes. A person close to Trump’s transition confirmed to Politico that Johnson participated in transition-related meetings.  </div><div>
</div><div>By this point, Johnson had a well-documented track record of bigotry and dirty tricks. In 2015, he’d been permanently ? and noticeably ? suspended from Twitter after requesting funds to “take out” a Black civil rights activist. In 2016, he’d gone on an alt-right podcast called “Fash the Nation” to talk at length about the evolutionary traits of “Jews” and “Blacks.” (“They’re dumber,” Johnson said of African Americans.)</div><div>
</div><div>In January 2017, Johnson hosted a Reddit “Ask Me Anything” session during which he was asked for his thoughts on “the Holocaust, WW2, and the JQ in general.” (The “JQ,” or “Jewish Question,” is a term anti-Semites, including Hitler, have used for over a century as shorthand for their conspiracy theory that Jews have too much control over society.) “I do not and never have believed the six million figure,” Johnson wrote. “I think the Red Cross numbers of 250,000 dead in the camps from typhus are more realistic but I confess to having complicated views on the subject. I think the Allied bombings of Germany were a war crime. I agree with [Holocaust revisionist] David Cole about Auschwitz and the gas chambers not being real. Why were their [sic] swimming pools there if it was a death camp?”</div><div>
</div><div>Two weeks after Johnson’s Holocaust denial on Reddit, SMARTCHECKR, LLC was registered in New York. The address associated with it belonged to Richard Schwartz, who had been a top aide to Rudy Giuliani when he was mayor of New York City. Schwartz would later admit to being one of the founders of Smartcheckr. </div><div>
</div><div>Thiel was one of the company’s earliest investors. “In 2017, Peter gave a talented young founder $200,000, which two years later converted to equity in Clearview AI,” Thiel’s spokesman, Jeremiah Hall, said in a statement. Hall didn’t specify which founder he meant and did not respond to questions for this story.</div><div>
</div><div>Emails and messages obtained by HuffPost show that Ton-That and Johnson were in touch about Smartcheckr in 2017. In one email thread, Johnson and his associates at GotNews discussed a dogwhistle post they were putting together about a racially motivated mass shooting in Fresno, California, that had been committed by a Black man who was Muslim. Tyler Bass, a GotNews writer, wondered if there was an easy way to scrape “an entire Facebook page quickly ... the next time another American goes apeshit and before Facebook pulls it down out of shame.” He added Ton-That to the conversation, who replied quickly. “I’m working on this for smartcheckr,” the hacker wrote. “Plan to make these tools available for our guys.”...</div></div></div><div></div><div><table border="0" cellpadding="0" cellspacing="0" width="100%" style="background-color: rgb(255, 255, 255); border-collapse: collapse; border-spacing: 0px;"><tbody><tr><td width="70%"><table cellpadding="0" cellspacing="0" style="border-spacing: 0px;"><tbody><tr><td style="padding-bottom: 15px;"><div class="yiv4066338250en-editable yiv4066338250en-editable--editor" style="position: relative;">M<a rel="nofollow" target="blank" href="https://e-activist.com/ea-action/enclick?ea.url.id=4639214&clid=1908&ea.campaigner.email=LR5X34BBe%2FXBM8blHkDEMcQaztlvuLM%2B&ea.campaigner.id=wNHmqGi8fWmZkArzVWMSmA&ea_broadcast_target_id=0" style="text-decoration-line: none; font-weight: bold; line-height: 30px;">oscow Silently Expands Surveillance of Citizens</a></div></td></tr></tbody></table></td></tr><tr><td><table cellpadding="0" cellspacing="0" style="border-spacing: 0px;"><tbody><tr><td style="padding-bottom: 27px;"><div class="yiv4066338250en-editable yiv4066338250en-editable--editor" style="position: relative;">The system is ostensibly to help in the fight against COVID-19 as facial recognition cameras are being used to ensure that everyone placed under self-quarantine stays off the streets.</div></td></tr></tbody></table><table border="0" cellpadding="0" cellspacing="0" width="100%" style="border-spacing: 0px; border-collapse: collapse; padding-top: 10px;"><tbody><tr><td width="77%"><div class="yiv4066338250en-editable yiv4066338250en-editable--editor" style="position: relative;"><a rel="nofollow" target="blank" href="https://e-activist.com/ea-action/enclick?ea.url.id=4639215&clid=1908&ea.campaigner.email=LR5X34BBe%2FXBM8blHkDEMcQaztlvuLM%2B&ea.campaigner.id=wNHmqGi8fWmZkArzVWMSmA&ea_broadcast_target_id=0" style="text-decoration-line: none; font-weight: bold;">READ MORE »</a></div></td></tr></tbody></table></td></tr></tbody></table><div><div style="background-color: rgb(255, 255, 255);">=</div><div style="background-color: rgb(255, 255, 255);">cory bb 320</div><div style="background-color: rgb(255, 255, 255);">
</div><div style="background-color: rgb(255, 255, 255);"><h2 class="entry-title" style="box-sizing: border-box; margin: 0.1em 0px 0.25em; line-height: 1;"><a href="https://boingboing.net/2020/01/25/clearview-analytica.html" rel="bookmark" style="text-decoration-line: none; outline: none; box-sizing: border-box;">answer to the Clearview AI scandal is better privacy laws, not anti-scraping laws</a></h2><div class="entry-content" libre="Libre" baskerville="Baskerville" sans-serif="sans-serif" font-size="font-size" px="px" background-color="background-color" rgb="rgb" style="box-sizing: border-box;">Clearview AI (<a href="https://boingboing.net/?s=%22clearview%22" style="text-decoration-line: none; font-weight: bold; outline: none; box-sizing: border-box;">previously</a>) is a grifty facial recognition company that sells untested, secretive tools to police departments, claiming that they can identify people from security camera footage by matching the pictures those scraped from big social media sites. <a href="https://boingboing.net/2020/01/25/clearview-analytica.html" class="read-more" style="text-decoration-line: none; font-weight: bold; outline: none; box-sizing: border-box;">Read the rest</a></div></div><div style="background-color: rgb(255, 255, 255);">=</div><div>
</div><div></div><div>DN 3/4/20</div><div>markey clearview FB scrape sell to saudi china?</div><div>3 doz college ~</div><div>=
<div>220 int</div><div><span class="" style="box-sizing: border-box; outline-color: inherit; text-decoration-line: none; margin-bottom: 0px; padding-top: 20px; position: relative; border-top: 1px solid rgb(238, 238, 238); display: inline !important;">the <a class="Homepage-HomepageSubjectSecondaryNode-container" relay="[object Object]" href="https://theintercept.com/2020/01/27/surveillance-cctv-smart-camera-networks/" style="box-sizing: border-box; outline-color: inherit; text-decoration-line: none; margin-bottom: 0px; padding-top: 20px; position: relative; border-top: 1px solid rgb(238, 238, 238); display: inline !important;">Rise of Smart Camera Networks, and Why We Should Ban Them</a></div><div><div class="Homepage-HomepageSubjectSecondaryNode-textBlock" style="box-sizing: border-box; margin-left: 16px; width: 247.266px; -webkit-box-flex: 1; flex: 1 1 100%;"><div class="Homepage-HomepageSubjectSecondaryNode-byline" style="box-sizing: border-box;"><div class="PromoByline-byline PromoByline-light" style="box-sizing: border-box; font-family: TIActuBetaMono-Regular_web, Consolas, " andale="Andale" mono="Mono" monospace="monospace" font-size="font-size" px="px" color="color" rgb="rgb">Michael Kwet</div></div></div></div><div>
<div>220 intercept</div><div><a rel="nofollow" target="blank" href="https://theintercept.us11.list-manage.com/track/click?u=43fc0c0fce9292d8bed09ca27&id=7d6337e202&e=613b87ca24" style="text-decoration-line: none;">Leaked Reports Show EU Police Are Planning a Pan-European Network of Facial Recognition Databases</a> Zach Campbell, Chris JonesThe proposal to link the EU’s facial recognition databases would likely connect them to the U.S. as well, in a massive consolidation of biometric data.<a rel="nofollow" target="blank" href="https://theintercept.us11.list-manage.com/track/click?u=43fc0c0fce9292d8bed09ca27&id=810ebe3b30&e=613b87ca24" style="text-decoration-line: none; font-weight: bold; letter-spacing: 0.6px;">READ MORE →</a></div><div>
<div><a href="https://theintercept.com/2020/01/27/surveillance-cctv-smart-camera-networks">https://theintercept.com/2020/01/27/surveillance-cctv-smart-camera-networks</a></div><div>
</div><div>THERE’S WIDESPREAD CONCERN that video cameras will use facial recognition software to track our every public move. Far less remarked upon — but every bit as alarming — is the exponential expansion of “smart” video surveillance networks.</div>Private businesses and homes are starting to plug their cameras into police networks, and rapid advances in artificial intelligence are investing closed-circuit television, or CCTV, networks with the power for total public surveillance. In the not-so-distant future, police forces, stores, and city administrators hope to film your every move — and interpret it using video analytics.The rise of all-seeing smart camera networks is an alarming development that threatens civil rights and liberties throughout the world. Law enforcement agencies have a long history of using surveillance against marginalized communities, and studies show surveillance chills freedom of expression — ill effects that could spread as camera networks grow larger and more sophisticated.To understand the situation we’re facing, we have to understand the rise of the video surveillance industrial complex — its history, its power players, and its future trajectory. It begins with the proliferation of cameras for police and security, and ends with a powerful new industry imperative: complete visual surveillance of public space.<h3 style="box-sizing: border-box; line-height: 1; margin: 1em 0px; font-kerning: normal;" kern="kern" font-size="font-size" em="em" color="color" rgb="rgb">Video Management Systems and Plug-in Surveillance Networks</h3>In their first decades of existence, CCTV cameras were low-resolution analog devices that recorded onto tapes. Businesses or city authorities deployed them to film a small area of interest. Few cameras were placed in public, and the power to track people was limited: If police wanted to pursue a person of interest, they had to spend hours collecting footage by foot from nearby locations.In the late 1990s, video surveillance became more advanced. A company called Axis Communications invented the first <a href="https://www.axis.com/newsroom/article/first-network-camera" style="box-sizing: border-box; outline: none; text-decoration-line: none;">internet-enabled surveillance camera</a>, which converted moving images to digital data. New businesses like Milestone Systems built Video Management Systems, or VMS, to organize video information into databases. VMS providers created new features like motion sensor technology that alerted guards when a person was caught on camera in a restricted area.As time marched on, video surveillance spread. On <a href="https://www.amazon.com/Business-Magnetism-Mr-Lars-Thinggaard/dp/0615892140" style="box-sizing: border-box; outline: none; text-decoration-line: none;">one account</a>, about 50 years ago, the United Kingdom had somewhere north of 60 permanent CCTV cameras installed nationwide. Today, the U.K. has over <a href="https://www.bbc.com/news/uk-30978995" style="box-sizing: border-box; outline: none; text-decoration-line: none;">6 million</a> such devices, while the U.S. has <a href="https://technology.ihs.com/583114/north-american-security-camera-installed-base-to-reach-62-million-in-2016" style="box-sizing: border-box; outline: none; text-decoration-line: none;">tens of millions</a>. According to marketing firm IHS Markit, <a href="https://www.wsj.com/articles/a-billion-surveillance-cameras-forecast-to-be-watching-within-two-years-11575565402" style="box-sizing: border-box; outline: none; text-decoration-line: none;">1 billion cameras</a> will be watching the world by the end of 2021, with the United States rivaling China’s <a href="https://technology.ihs.com/619515/the-us-has-a-security-camera-penetration-rate-rivalling-chinas" style="box-sizing: border-box; outline: none; text-decoration-line: none;">per person camera penetration rate</a>. Police can now track people across multiple cameras from a command-and-control center, desktop, or smartphone.While it is possible to link thousands of cameras in a VMS, it is also expensive. To increase the amount of CCTVs available, cities recently came up with a clever hack: encouraging businesses and residents to place privately owned cameras on their police network — what I call “plug-in surveillance networks.”...<div>
<div><a href="https://www.democracynow.org/2020/1/30/coded_bias_shalini_kantayya_joy_buolamwini">https://www.democracynow.org/2020/1/30/coded_bias_shalini_kantayya_joy_buolamwini</a></div><div>
</div><div>a new documentary looks at the dangers of artificial intelligence and its increasing omnipresence in daily life, as new research shows that it often reflects racist biases. Earlier this month, Cambridge, Massachusetts, became the latest major city to ban facial recognition technology, joining a growing number of cities, including San Francisco, to ban the artificial intelligence, citing flawed technology and racial and gender bias. A recent study also found that facial recognition identified African-American and Asian faces incorrectly 10 to 100 times more than white faces. The film “Coded Bias” begins with Joy Buolamwini, a researcher at the MIT Media Lab, discovering that most facial recognition software does not recognize darker-skinned or female faces. She goes on to uncover that artificial intelligence is not in fact a neutral scientific tool; instead, it internalizes and echoes the inequalities of wider society. For more on the film, we speak with Joy Buolamwini, a researcher who uses art to raise awareness on the implications of artificial intelligence and is featured in the documentary “Coded Bias,” which just premiered at the 2020 Sundance Film Festival. We also speak with Shalini Kantayya, director of “Coded Bias.”<div class="mobile_anchor_target" id="transcript" style="box-sizing: border-box; background-color: rgb(255, 255, 255);"><h5 class="transcript" style="box-sizing: border-box; margin: 0px 0px 10px; line-height: 1;">Transcript</h5><div class="grey_description fine_print" style="box-sizing: border-box; margin: 0px 0px 20px; line-height: 19px;">This is a rush transcript. Copy may not be in its final form.</div><div class="text" style="box-sizing: border-box; line-height: 27px; letter-spacing: -0.2px;">AMY GOODMAN: This is Democracy Now!, democracynow.org, The War and Peace Report. I’m Amy Goodman, with Nermeen Shaikh. And we’re broadcasting from the Sundance Film Festival in Park City, Utah, from Park City TV, where a new film looks at the racial and gender prejudice baked into artificial intelligence technology, like facial recognition. The film is called Coded Bias.NERMEEN SHAIKH: Earlier this month, Cambridge, Massachusetts, voted to ban facial recognition, joining a growing number of cities in the U.S., including San Francisco, that have outlawed the artificial intelligence software, citing flawed technology.AMY GOODMAN: A recent study found facial recognition identified African-American and Asian faces incorrectly 10 to 100 times more than white faces. The study by the National Institute of Standards and Technology found a photo database used by law enforcement incorrectly identified Native Americans at the highest rates.NERMEEN SHAIKH: The danger of flawed artificial intelligence and its increasing omnipresence in daily life is the focus of the new film Coded Bias. The film begins with Joy Buolamwini, a researcher at the MIT Media Lab, who discovers that most facial recognition software does not recognize darker-skinned or female faces when she has to wear a white mask to be recognized by a robot she herself is programming. She goes on to reveal that artificial intelligence is not in fact a neutral scientific tool, but instead reflects the biases and inequalities of wider society.AMY GOODMAN: This is Joy Buolamwini testifying before Congress in May...</div></div><div>=<a href="https://theconversation.com/now-advertising-billboards-can-read-your-emotions-and-thats-just-the-start-45519">https://theconversation.com/now-advertising-billboards-can-read-your-emotions-and-thats-just-the-start-45519</a>Advertising giant <a href="http://mcsaatchi.com/" style="outline: none; white-space: pre-wrap; overflow-wrap: break-word;">M&C Saatchi</a> is currently testing advertising billboards with hidden Microsoft Kinect cameras that read viewers’ emotions and react according to whether a person’s facial expression is happy, sad or neutral.The <a href="http://www.theguardian.com/media-network/2015/jul/27/artificial-intelligence-future-advertising-saatchi-clearchannel" style="outline: none; white-space: pre-wrap; overflow-wrap: break-word;">test adverts</a> – which feature a fictitious coffee brand named <a href="http://bahio.coffee/" style="outline: none; white-space: pre-wrap; overflow-wrap: break-word;">Bahio</a> – have already appeared on Oxford Street and Clapham Common in London. So we now have adverts that can read the reactions of those that view them and adapt accordingly, cycling through different images, designs, fonts and colours. With partners <a href="http://www.clearchannel.co.uk/" style="outline: none; white-space: pre-wrap; overflow-wrap: break-word;">Clear Channel</a> and <a href="http://www.posterscope.com/" style="outline: none; white-space: pre-wrap; overflow-wrap: break-word;">Posterscope</a>, Saatchi has made advertising history. When future media historians look back they will see 2015 as a landmark year.There are three key things we should recognise: adverts can read our behaviour, this is based on our emotions rather than website browsing history, and that adverts use this to improve themselves.What are we to make of this? Is it a bit creepy? The answer is both yes and no. What the campaign represents is an attempt to get closer to us, something that’s a defining characteristic of the advertising and audience research industries. They want to know us more intimately so as to be able to craft messages that will affect and resonate with us. It’s an example of what I call “empathic media” because, through reading facial expressions, adverts are able to bypass the guesswork and make direct use of our emotions....=</div><div>
<div><div class="mag-post-box hentry" style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px 0px 15px; width: 374.545px; overflow: hidden; display: table; border-bottom: 1px solid rgb(236, 236, 236); background-color: rgb(255, 255, 255);"><div class="magcat-detail" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px;"><h3 class="magcat-titlte entry-title" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; letter-spacing: 1px;"><a href="https://www.alternet.org/2020/01/an-act-of-mass-surveillance-indias-use-of-facial-recognition-tech-against-protesters-angers-privacy-advocates/" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: all 0.3s ease 0s; cursor: pointer; display: block; letter-spacing: 0px; line-height: 1.4;">An act of mass surveillance’: India’s use of facial recognition tech against protesters angers privacy advocates</a><a href="https://www.alternet.org/2020/01/an-act-of-mass-surveillance-indias-use-of-facial-recognition-tech-against-protesters-angers-privacy-advocates/" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: all 0.3s ease 0s; cursor: pointer; display: block; letter-spacing: 0px; line-height: 1.4;">
</a><a href="https://www.alternet.org/2020/01/an-act-of-mass-surveillance-indias-use-of-facial-recognition-tech-against-protesters-angers-privacy-advocates/" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: all 0.3s ease 0s; cursor: pointer; display: block; letter-spacing: 0px; line-height: 1.4;"></a><a href="https://www.alternet.org/author/eoin-higgins/" title="Posts by Eoin Higgins" class="author url fn" rel="author" style="text-align: right; box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">Eoin Higgins</a> / <a href="https://www.alternet.org/author/common-dreams/" title="Posts by Common Dreams" class="author url fn" rel="author" style="text-align: right; box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">Common Dreams</a></h3></div></div><div><div>=</div><div><a href="https://theintercept.com/2019/11/26/amazon-ring-home-security-facial-recognition/">https://theintercept.com/2019/11/26/amazon-ring-home-security-facial-recognition/</a></div><div>
</div><div>neighborhood watch?</div><div>
</div><div></div></div><div><a href="https://theintercept.com/2019/11/06/shutterstock-china-censorship-tech/">https://theintercept.com/2019/11/06/shutterstock-china-censorship-tech/</a></div><div>=</div><div>lipton protest warrior<div style="">
</div><div style="">=</div><div style=""><a href="https://theintercept.com/2016/12/23/virtual-reality-allows-the-most-detailed-intimate-digital-surveillance-yet/">https://theintercept.com/2016/12/23/virtual-reality-allows-the-most-detailed-intimate-digital-surveillance-yet/</a></div><div style="">
</div><div style="">=</div><div style=""><a href="https://theintercept.com/2017/01/19/trump-dhs-surveillance/">https://theintercept.com/2017/01/19/trump-dhs-surveillance/</a></div><div style="">
</div><div style=""><div class="Post-header" data-reactid="109" style="box-sizing: border-box; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; position: static; padding: 0px 40px; margin: 0px;"><div class="Post-header-grid" data-reactid="133" style="box-sizing: border-box; margin: 0px auto; max-width: 1160px; padding: 0px;"><div class="Post-header-row" data-reactid="134" style="box-sizing: border-box; position: static; margin-left: -20px; margin-right: -20px; width: auto !important;"><div class="Post-header-block" data-reactid="158" style="box-sizing: border-box; padding-left: 20px; padding-right: 20px; padding-top: 10px; min-height: 0px; width: 960px; float: left; margin-left: 240px; position: relative; z-index: 5; box-shadow: rgb(238, 238, 238) -1px 0px;"><div data-reactid="159" style="box-sizing: border-box;"><div class="Post-title-block" data-reactid="165" style="box-sizing: border-box; margin-bottom: 60px;"><div class="PostByline byline PostByline--many" data-reactid="167" style="box-sizing: border-box; padding: 10px 0px 0px; line-height: 1.28571;"><span class="PostByline-date" data-reactid="189" style="box-sizing: border-box; font-family: TIActuBetaMono-Regular_web, Consolas, " andale="Andale" mono="Mono" monospace="monospace" color="color" rgb="rgb" margin-left="margin-left" px="px" float="float" left="left" clear="clear">January 19 2017, 7:44 a.m.</div><div class="PartnershipArticle-StandardPost-PostByline" data-reactid="191" style="box-sizing: border-box;"><div class="Post-body" data-reactid="193" style="box-sizing: border-box;"><div class="Post-content-block-outer" data-reactid="200" style="box-sizing: border-box; padding-left: 40px; padding-right: 40px;"><div class="GridContainer Post-scroll-container" data-reactid="201" style="box-sizing: border-box; margin: 0px auto; max-width: 1160px; position: relative; height: 3742.11px;"><div class="GridRow" data-reactid="202" style="box-sizing: border-box; margin-left: -20px; margin-right: -20px; width: auto !important; height: 3742.11px;"><div class="Post-content-block" data-reactid="203" style="box-sizing: border-box; width: 960px; padding-left: 20px; padding-right: 20px; float: left; position: relative; z-index: 5; margin-left: 240px; box-shadow: rgb(238, 238, 238) -1px 0px;"><div class="Post-content-block-inner" data-reactid="204" style="box-sizing: border-box; position: relative; max-width: 100%; margin-right: 230px; padding-right: 10px;"><div class="PostContent" data-reactid="207" style="box-sizing: border-box; margin-bottom: 80px; line-height: 1.5;"><div data-reactid="208" style="box-sizing: border-box;">THE BACKGROUNDS OF the members of the team that President-elect Donald Trump is picking to shape the Department of Homeland Security suggests he will aggressively pursue surveillance using the latest technological advancements.Trump, on the campaign trail, suggested that his law-and-order agenda would include mass surveillance of certain targets. “I want surveillance of certain mosques,” Trump <a href="http://www.cnn.com/2015/11/21/politics/trump-muslims-surveillance/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">declared</a> at a rally in Birmingham, Alabama. “I want surveillance,” he <a href="https://www.washingtonpost.com/news/post-politics/wp/2015/11/21/donald-trump-says-he-absolutely-wants-a-database-of-syrian-refugees/?utm_term=.27bd582bea5c" style="box-sizing: border-box; outline: none; text-decoration-line: none;">added</a>, “I will absolutely take [sic] database on the people coming in from Syria.”If his personnel choices are any indication, Trump’s Homeland Security Department will favor a range of technological solutions, including threat-detection algorithms, facial-recognition technology, and an expansion of “verifiable” identity solutions both in real life and online.Several people on Trump’s transition team are linked to a firm called Safran, a French defense contractor that has marketed expansive facial recognition and biometric software for law enforcement and intelligence agencies. As The Intercept previously <a href="https://theintercept.com/2016/11/04/private-intellligence-firm-proposes-google-for-tracking-terrorists-faces/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">reported</a>, Morpho, a division of Safran, has touted a “Google” style search tool for capturing and storing the identities of potential terrorists using facial recognition technology. The concept has been <a href="https://theintercept.com/2016/11/04/private-intellligence-firm-proposes-google-for-tracking-terrorists-faces/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">criticized</a> by privacy experts for denying due process rights to those ensnared in the terrorist database for simply having certain facial features.Michael Dougherty, one of the Trump officials handling the Homeland Security Department handoff, has worked to lobby policymakers as the president of the Secure Identity & Biometrics Association, a position he left to join the Trump team. The association represents several facial recognition firms, <a href="http://secure%20identity%20%26%20biometrics%20association%2C/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">including</a> Safran’s Morpho division.Lora Ries, another transition team member, is a former <a href="https://soprweb.senate.gov/index.cfm?event=getFilingDetails&filingID=7E98BF98-5459-4FC4-A29E-98B25AB03406&filingTypeID=60" style="box-sizing: border-box; outline: none; text-decoration-line: none;">registered</a> lobbyist for L-1 Identity Solutions, a facial recognition <a href="https://www.youtube.com/watch?v=fO240aXXYP4" style="box-sizing: border-box; outline: none; text-decoration-line: none;">firm</a> that is now a <a href="http://www.morpho.com/en/media/safran-completes-acquisition-l-1-identity-solutions-becomes-world-leader-biometric-identity-solutions-20110726" style="box-sizing: border-box; outline: none; text-decoration-line: none;">subsidiary</a>of Morpho. Brad Buswell, a former executive at Morpho Detection, a subsidiary of Safran that provides explosive-detection equipment for the Transportation Security Administration, was also tapped to work for the Trump transition on the Homeland Security Department.John Sanders, the head of the geospatial intelligence startup Pramantha Solutions, is also on the team. Sanders sits on the board of Evolv, a security firm that <a href="http://evolvtechnology.com/security-platform/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">markets</a> a technology that combines existing CCTV cameras, facial recognition, and “open source, propriety sources” of information.That the entire Trump Department of Homeland Security transition team hails from the private sector seems to be intentional, given the remarks of Trump’s pick to lead the agency.Retired Marine Corps Gen. John Kelly discussed the need to harness technology during his confirmation hearings last week, suggesting that the new administration would prioritize work with technology firms.“I was watching something Ash Carter started when he took over at the Defense Department. He started to reach out to the commercial world — Silicon Valley, that kind of thing, to engage them,” Kelly said during the hearing. “More cooperation amongst the private sector and the federal sector, the state sector, would go a long way.”In some ways, Trump would simply be taking the baton passed to him by Obama.During Obama’s tenure, the Department of Homeland Security’s Directorate of Science and Technology consistently supported research into surveillance methods. A Washington State hockey rink, for instance, was the <a href="https://www.dhs.gov/sites/default/files/publications/privacy-pia-update-s&t-facial-recognition-09162013.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">testing ground</a> for an agency-funded experiment on facial recognition software in crowded environments.The Homeland Security Advanced Research Projects Administration, the agency’s in-house research <a href="https://www.dhs.gov/science-and-technology/hsarpa" style="box-sizing: border-box; outline: none; text-decoration-line: none;">institute</a>, identified biometric entry-exit visa programs and predictive threat modeling that relies on complex algorithms as technological gaps that need to be filled.The focus on identity technology is borne out in the agency’s most recent budget, which allocated $65 million to update the agency’s biometric database. HSARPA is also involved in the development and promotion of several other controversial technologies, including algorithmic prediction and Wide Area Surveillance, a surveillance method that uses multiple plane-mounted cameras to provide continuous coverage of a large geographic area with the ability to replay events.First developed by the military in battlefields such as Iraq, Wide Area Surveillance has provoked outrage and protest when the public became aware of its use in <a href="http://cironline.org/reports/hollywood-style-surveillance-technology-inches-closer-reality-6228" style="box-sizing: border-box; outline: none; text-decoration-line: none;">Compton</a> and <a href="https://info.publicintelligence.net/PSS-WideAreaSurveillance.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">Baltimore</a>. Wide Area Surveillance was also deployed during the 2014 Boston Marathon, according to the agency’s FY2016 budget <a href="https://www.dhs.gov/sites/default/files/publications/FY_2016_DHS_Budget_in_Brief.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">request</a>. The system uses a secret network of cameras, including high definition equipment mounted to small Cessna <a href="https://www.bloomberg.com/features/2016-baltimore-secret-surveillance/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">airplanes</a>, to provide a constant view surveillance of every individual walking on the sidewalk, every car driving on the street, and nearly almost any movement detectable from the sky. The system stores an archive, with the ability to rewind and track an individual.During Obama’s term, the Department of Homeland Security also significantly expanded the availability of facial recognition technology to nonfederal law enforcement. According to <a href="https://www.dhs.gov/sites/default/files/publications/FY_2016_DHS_Budget_in_Brief.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">budget documents</a>  in 2014 the Homeland Security Information Network, an information-sharing system set up by the agency’s Office Of Intelligence & Analysis, created the “Multi-State Facial Recognition Community” that provided end users access to biometric search tools for “18 current participating states and fusion centers with the single click of a mouse.”</div></div></div></div></div></div></div></div></div><div style=""></div><div style=""><a href="https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/">https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/</a></div><div style="">
</div><div style="">kofman</div><div style=""><div class="Post-header" data-reactid="109" style="box-sizing: border-box; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; position: static; padding: 0px 40px; margin: 0px;"><div class="Post-header-grid" data-reactid="133" style="box-sizing: border-box; margin: 0px auto; max-width: 1160px; padding: 0px;"><div class="Post-header-row" data-reactid="134" style="box-sizing: border-box; position: static; margin-left: -20px; margin-right: -20px; width: auto !important;"><div class="Post-header-block" data-reactid="158" style="box-sizing: border-box; padding-left: 20px; padding-right: 20px; padding-top: 10px; min-height: 0px; width: 960px; float: left; margin-left: 240px; position: relative; z-index: 5; box-shadow: rgb(238, 238, 238) -1px 0px;"><div data-reactid="159" style="box-sizing: border-box;"><div class="Post-title-block" data-reactid="165" style="box-sizing: border-box; margin-bottom: 60px;"><div class="PostByline byline" data-reactid="167" style="box-sizing: border-box; padding: 10px 0px 0px; line-height: 1.28571;">March 22 2017, 11:23 a.m.</div><div class="PostByline byline" data-reactid="167" style="box-sizing: border-box; padding: 10px 0px 0px; line-height: 1.28571;"><span style="font-family: " times="Times" new="New" roman="Roman" font-size="font-size" large="large" box-sizing="box-sizing" border-box="border-box" font-weight="font-weight" bold="bold" letter-spacing="letter-spacing" em="em" box-shadow="box-shadow" white="white" px="px" rgb="rgb" text-transform="text-transform" uppercase="uppercase">LAST YEAR, A RUSSIAN startup <a href="http://fusion.net/story/295539/ntechlab-findface-facial-recognition-accuracy-doxing/" style="font-family: " times="Times" new="New" roman="Roman" font-size="font-size" large="large" letter-spacing="letter-spacing" em="em" box-sizing="box-sizing" border-box="border-box" outline="outline" none="none" text-decoration-line="text-decoration-line">announced</a> that it could scan the faces of people passing by Moscow’s thousands of CCTV cameras and pick out wanted criminals or missing persons. Unlike much face recognition technology — which runs stills from videos or photographs after the fact — NTechLab’s FindFace algorithm has achieved a feat that once only seemed possible in the science fictional universe of “Minority Report”: It can determine not just who someone is, but where they’ve been, where they’re going, and whether they have an outstanding warrant, immigration detainer, or unpaid traffic ticket.</div><div class="PostByline byline" data-reactid="167" style="box-sizing: border-box; padding: 10px 0px 0px; line-height: 1.28571;">For years, the development of real-time face recognition has been hampered by poor video resolution, the angles of bodies in motion, and limited computing power. But as systems begin to transcend these technical barriers, they are also outpacing the development of policies to constrain them. Civil liberties advocates fear that the rise of real-time face recognition alongside the growing number of police body cameras creates the conditions for a perfect storm of mass surveillance.</div></div></div></div></div></div></div><div class="Post-body" data-reactid="184" style="box-sizing: border-box;"><div class="Post-content-block-outer" data-reactid="191" style="box-sizing: border-box; padding-left: 40px; padding-right: 40px;"><div class="GridContainer Post-scroll-container" data-reactid="192" style="box-sizing: border-box; margin: 0px auto; max-width: 1160px; position: relative; height: 10916.8px;"><div class="GridRow" data-reactid="193" style="box-sizing: border-box; margin-left: -20px; margin-right: -20px; height: 10916.8px; width: auto !important;"><div class="Post-content-block" data-reactid="194" style="box-sizing: border-box; width: 960px; padding-left: 20px; padding-right: 20px; float: left; position: relative; z-index: 5; margin-left: 240px; box-shadow: rgb(238, 238, 238) -1px 0px;"><div class="Post-content-block-inner" data-reactid="195" style="box-sizing: border-box; position: relative; max-width: 100%; margin-right: 230px; padding-right: 10px;"><div class="PostContent" data-reactid="198" style="box-sizing: border-box; margin-bottom: 80px; line-height: 1.5;"><div data-reactid="199" style="box-sizing: border-box;">“The main concern is that we’re already pretty far along in terms of having this real-time technology, and we already have the cameras,” said Jake Laperruque, a fellow at the Constitution Project. “These cameras are small, hard to notice, and all over the place. That’s a pretty lethal combination for privacy unless we have reasonable rules on how they can be used together.”This imminent reality has led several civil liberties groups to call on police departments and legislators to implement clear policies on camera footage retention, biometrics, and privacy. On Wednesday morning, the House Oversight Committee <a href="https://oversight.house.gov/hearing/law-enforcements-use-facial-recognition-technology/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">held a hearing</a> on law enforcement’s use of facial recognition technology, where advocates emphasized the dangers of allowing advancements in real-time recognition to broaden surveillance powers. As Alvaro Bedoya, executive director of the Center on Privacy and Technology at Georgetown Law, told Congress, pairing the technology with body cameras, in particular, “will redefine the nature of public spaces.”The integration of real-time face recognition with body-worn cameras is further along than lawmakers and citizens realize. A recent Justice Department-funded <a href="https://www.ncjrs.gov/pdffiles1/nij/grants/250381.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">survey</a> conducted by Johns Hopkins University found that at least nine out of 38 manufacturers of body cameras currently have facial recognition capacities or have built in an option for such technology to be used later.Taser, which leads the market for body cameras, <a href="http://investor.taser.com/releasedetail.cfm?releaseid=1011191" style="box-sizing: border-box; outline: none; text-decoration-line: none;">recently acquired two startups</a> that will allow it to run video analytics on the footage the cameras collect, and Taser’s CEO has <a href="https://www.fastcompany.com/3061935/police-body-cameras-livestreaming-face-recognition-and-ai" style="box-sizing: border-box; outline: none; text-decoration-line: none;">repeatedly</a> <a href="https://www.axon.io/products/view" style="box-sizing: border-box; outline: none; text-decoration-line: none;">emphasized</a> the development of real-time applications, such as scanning videos for faces, objects, and suspicious activity. A spokesperson for NTechLab, which has pilot projects in 20 countries including the United States, China, the United Kingdom, and Turkey, told The Intercept that its high-performing algorithm is already compatible with body cameras.Police see the appeal. The captain of the Las Vegas Police Department <a href="https://www.bloomberg.com/news/articles/2016-07-12/will-a-camera-on-every-cop-make-everyone-safer-taser-thinks-so" style="box-sizing: border-box; outline: none; text-decoration-line: none;">told Bloomberg</a> in July that he envisions his officers someday patrolling the Strip with “real-time analysis” on their body cameras and an earpiece to tell them, “‘Hey, that guy you just passed 20 feet ago has an outstanding warrant.’”At least five U.S. police departments, including those in Los Angeles and New York, have already purchased or looked into purchasing real-time face recognition for their CCTV cameras, according to <a href="https://theintercept.com/2016/10/18/study-lack-of-face-recognition-oversight-threatens-privacy-of-millions/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">a study</a> of face recognition technology published by Bedoya and other researchers at Georgetown. Bedoya emphasized that it’s only a matter of time until the nation’s body-worn cameras will be hooked up to real-time systems. With 6,000 of the country’s 18,000 police agencies estimated to be using body cameras, the pairing would translate into hundreds of thousands of new, mobile surveillance cameras.“For many of these systems, the inclusion of real-time face recognition is just a software update away,” said Harlan Yu, co-author of <a href="https://www.bwcscorecard.org/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">a report</a> on body camera policies for Upturn, a technology think tank.Civil liberties experts warn that just walking down the street in a major urban center could turn into an automatic law enforcement interaction. With the ability to glean information at a distance, officers would not need to justify a particular interaction or find probable cause for a search, stop, or frisk. Instead, everybody walking past a given officer on his patrol could be subject to a “perpetual line-up,” as the Georgetown study put it. In Ferguson, Missouri, where a <a href="https://www.justice.gov/sites/default/files/opa/press-releases/attachments/2015/03/04/ferguson_police_department_report_1.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">Justice Department investigation</a> showed that more than three-quarters of the population had outstanding warrants, real-time face searches could give police immense power to essentially arrest individuals at will. And in a city like New York, which has over 100 officers per square mile and plans to equip each one of them with body cameras by 2019, the privacy implications of turning every beat cop into a surveillance camera are enormous.“The inclusion of face recognition really changes the nature and purpose of body cameras, and it changes what communities expect when they call for and pay for cameras with taxpayer dollars,” Yu said. “I think there’s a real fear in communities of color, where officers are already concentrated, that these body-worn cameras will become another tool for surveillance rather than a tool for accountability.”<h3 style="box-sizing: border-box; line-height: 1; margin: 1em 0px; font-kerning: normal;" kern="kern"> Digital Enemies List</h3>Civil rights group concur that tracking individuals caught on body cameras — either live or using archival footage — could put a chill on First Amendment-protected activities.“Are you going to go to a gun rights rally or a protest against the president, for that matter, if the government can secretly scan your face and identify you?” Bedoya asked the House Committee in his testimony on Wednesday.These are not far-fetched concerns, given revelations in recent years of the NYPD’s Demographics Unit, tasked with<a href="http://www.nytimes.com/2014/04/16/nyregion/police-unit-that-spied-on-muslims-isdisbanded.html?r=0" style="box-sizing: border-box; outline: none; text-decoration-line: none;"> monitoring the activities of Muslim communities,</a> and ongoing <a href="https://theintercept.com/2015/07/24/documents-show-department-homeland-security-monitoring-black-lives-matter-since-ferguson/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">surveillance of Black Lives Matter activists in Ferguson, Baltimore, Washington, D.C., and New York</a>. In a 2010 <a href="https://www.eff.org/files/filenode/vorder_bruegge-facial-recognition-and-identification-initiatives_0.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">slideshow</a>, the FBI discussed how face recognition could be used to tag individuals at campaign rallies. And law enforcement officials in Memphis <a href="https://www.aol.com/article/news/2017/02/21/memphis-police-store-secret-surveillance-black-lives-matter-protesters/21718619/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">revealed last month</a> that they have used surveillance footage of protesters linked to Black Lives Matter to create a “watchlist” that prohibits those individuals from entering the Memphis City Hall without an escort.“It’s not hard to imagine the worst way this could play out today, with a digital version of a J. Edgar Hoover-style ‘enemies list,’” Laperruque said, of the use of a real-time watchlist. “Even if we don’t have [a list], the mere threat develops a chilling effect.”The provisions for such a system are already in place. Other types of <a href="https://theintercept.com/2017/02/04/the-fbi-is-building-a-national-watchlist-that-gives-companies-real-time-updates-on-employees/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">real-time searches</a> of biometric databases — such as <a href="https://www.eff.org/deeplinks/2015/11/how-california-cops-use-mobile-biometric-tech-field" style="box-sizing: border-box; outline: none; text-decoration-line: none;">mobile fingerprinting</a> and <a href="https://newrepublic.com/article/130443/troubling-rise-rapid-dna-testing" style="box-sizing: border-box; outline: none; text-decoration-line: none;">rapid DNA tests</a> — are now part of law enforcement routines and face few legal challenges. FBI searches of state driver’s license databases using face recognition software are almost six times more common than federal court-ordered wiretaps, according to the Georgetown study.The databases, too, have <a href="https://theintercept.com/2016/06/01/the-fbi-wants-to-exempt-massive-biometric-database-from-the-privacy-act/" style="background-color: rgb(255, 255, 102); box-sizing: border-box; outline: none; text-decoration-line: none;">already been built</a>. Georgetown researchers estimated that one in every two faces of adults in the United States — many of whom have never committed a crime — are captured in searchable federal, state, or local databases. The Department of Defense, the Drug Enforcement Administration, and Immigration and Customs Enforcement are just a few of the federal agencies that can gain access to one or more state or local face recognition systems.Regular interagency data-sharing programs, such as <a href="https://www.aclu.org/other/more-about-fusion-centers" style="box-sizing: border-box; outline: none; text-decoration-line: none;">fusion centers</a>, have given officers the ability to track not only people convicted of crimes, but also petty offenders and immigrants. Immigrants entering and exiting the country with visas <a href="https://travel.state.gov/content/visas/en/general/border-biometrics.html" style="box-sizing: border-box; outline: none; text-decoration-line: none;">have already</a> handed over fingerprints and photos of their faces to the Department of Homeland Security. President Trump has <a href="https://www.whitehouse.gov/the-press-office/2017/01/27/executive-order-protecting-nation-foreign-terrorist-entry-united-states" style="box-sizing: border-box; outline: none; text-decoration-line: none;">demanded the completion of a biometric system</a> for all travelers at the border, and a new bill <a href="https://espaillat.house.gov/media/press-releases/rep-adriano-espaillat-introduces-ice-and-cbp-body-camera-legislation" style="box-sizing: border-box; outline: none; text-decoration-line: none;">introduced Tuesday</a> in the House calls for all ICE agents to wear body cameras.“I think it is absolutely a concern that face recognition would be used to facilitate deportations,” said Rachel Levinson-Waldman, an expert on policing technology at the Brennan Center for Justice at New York University School of Law. “We’re seeing how this administration is ramping up these deportation efforts. They’re looking much more widely.”But despite these precedents and possibilities, few departments have outlined policies to limit the pairing of facial recognition technology with body camera footage. In August, Yu and colleagues at Upturn <a href="https://www.bwcscorecard.org/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">surveyed</a> the major city police departments in the country that have equipped — or will soon equip — officers with body cameras. Out of 50 departments, only six had addressed the use of biometrics such as face recognition with their recordings.Baltimore’s policy appears to be the first to explicitly prohibit using “stored” body-camera video with face recognition, but it still leaves the door open for real-time recognition. Meanwhile, the Boston police department limits “technological enhancements” to the cameras themselves, “including, but not limited to, facial recognition or night-vision capabilities.” This policy has the opposite problem of Baltimore’s, Yu pointed out, as it still could allow for algorithms to analyze the department’s stored footage retrospectively. He said it was essential that police departments limit the amount of time they keep footage that has no obvious evidentiary value.“When they have this footage around, it will make it possible for departments to identify all the public places where specific individuals have encountered police over the years,” said Yu. “Given that departments are going down the path of better image recognition and better artificial intelligence technologies, they need to make public promises now that this is not the reason why they want to adopt body cameras.”<div class="img-wrap align-bleed full-bleed width-auto" style="box-sizing: border-box; margin: 0px 0px 2em; line-height: 1; position: relative; transition: opacity 300ms linear 200ms; opacity: 1; width: auto;">
[pix: A video wall shows New York City police officers an interactive map of the area, security footage from nearby cameras, and whether any threats have been made.

Photo: Mary Altaffer/AP]</div><h3 style="box-sizing: border-box; line-height: 1; margin: 1em 0px; font-kerning: normal;" kern="kern">Already Inaccurate</h3>Even with ideal policies in place, many privacy experts contend that both face recognition and body cameras are ineffective to begin with.Body cameras have so far <a href="http://blogs.wsj.com/law/2016/08/12/study-links-police-bodycams-to-increase-in-shooting-deaths/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">failed</a> to deliver the accountability that President Barack Obama promised when his administration <a href="https://www.justice.gov/opa/pr/justice-department-announces-20-million-funding-support-body-worn-camera-pilot-program" style="box-sizing: border-box; outline: none; text-decoration-line: none;">provided</a> over $20 million to supply them to law enforcement. Footage from body cams <a href="https://www.aclu.org/blog/speak-freely/if-cops-dont-turn-their-body-cameras-courts-should-instruct-juries-think-twice" style="box-sizing: border-box; outline: none; text-decoration-line: none;">rarely leads</a> to the prosecution of officers who have shot civilians, and their efficacy in reducing police use of force is supported by <a href="https://www.theatlantic.com/technology/archive/2016/09/body-cameras-are-just-making-police-departments-more-powerful/502421/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">limited peer-reviewed research</a>. Not all departments have public policies guiding the use of the expensive equipment. Moreover, those that do have policies in place <a href="https://www.thenation.com/article/we-dont-even-know-how-best-to-use-body-cameras-let-alone-regulate-them/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">often insufficiently limit</a> the retention of recordings, the ability to view footage prior to writing reports, and whether and when the cameras should be turned on.Meanwhile, some studies have shown the accuracy of facial recognition matches decreases when <a href="https://www.theatlantic.com/technology/archive/2016/04/the-underlying-bias-of-facial-recognition-systems/476991/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">identifying black faces and children</a>, when evaluated by human examiners, and when datasets expand. A <a href="http://www.gao.gov/assets/680/677098.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">Government Accountability Office report</a> showed that FBI searches of its Next Generation Identification database over four years returned likely matches with faces only 5 percent of the time.“The FBI doesn’t test for false positives so it doesn’t know how frequently a system misidentifies someone as a suspect,” Diana Maurer, of the Government Accountability Office, told legislators on Wednesday. “Innocent people could bear the burden of being falsely accused, including bearing the burden of investigators showing up to their home and investigating them.”Rep. Elijah Cummings of Baltimore added at the hearing, “If you’re black, you’re more likely to be affected by this technology, and that technology is more likely to be wrong. That’s a hell of a combination.”This month, the National Institute for Standards and Technology <a href="http://nvlpubs.nist.gov/nistpubs/ir/2017/NIST.IR.8173.pdf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">released</a> its first-ever test of real-time facial recognition algorithms. While the study doesn’t cover body-worn cameras, it evaluates the uses of face recognition with video in other surveillance scenarios, such as transportation hubs, asylum claims, immigration exits, and restraining orders. The study found that the accuracy of real-time face recognition algorithms had yet to reach a peak functional performance and ultimately depends on the “very difficult goal” of high image quality and resolution.Concerns about accuracy are compounded by the fact that the companies’ algorithms are in private hands.“How accurate is the system that puts person in jail because it says that person has warrant out for an arrest?” Yu asked. “These systems haven’t been interrogated by the public, and when they aren’t interrogated, it heightens the stakes far beyond what Microsoft or Google might be doing with their data.”Vendors have the ability to run analytics on the footage and data that officers collect through their body cameras — and to own the results. Agencies working with Taser pay monthly subscription fees to the corporation’s information hub, <a href="http://evidence.com/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">evidence.com</a>, for instance, which stores the footage on private servers. It’s these fees for storage, rather than the one-time cost of the material cameras, that are making the stock of Taser’s technology subsidiary soar.Experts fear that the data and analytics harvested from real-time face recognition may be capitalized on for profit and that the systems will be ripe for overuse. The <a href="https://theintercept.com/2014/03/17/1756license-plate-tracking-database/" style="box-sizing: border-box; outline: none; text-decoration-line: none;">development of Automatic License Plate Readers</a>, or ALPRs, serves as an instructive example.ALPR systems, which capture and digitize license plates, were originally pitched as a way to reduce car theft. But with auto theft declining, it was <a href="https://www.washingtonpost.com/posteverything/wp/2017/03/10/we-spend-100-billion-on-policing-we-have-no-idea-what-works/?utm_term=.b60dee3292cf" style="box-sizing: border-box; outline: none; text-decoration-line: none;">hard to justify the technology’s high cost</a>, and so a private company, Vigilant Solutions, cooked up a scheme to offer it to departments for free. But in exchange, municipalities give Vigilant their records of outstanding arrest warrants and overdue court fees, which the company uses to create a database of “flagged” vehicles. When ALPR cameras spot a flagged plate, officers pull the driver over and ask them to pay the fine or face arrest. For every transaction brokered between police and civilians pulled over with flagged plates, Vigilant gets a 25 percent service fee.One could imagine a similar arrangement for face recognition. Daniel Fisk, vice president of the body-worn camera vendor Black Mamba Protection, thinks that given the cost of a “luxury” tool like real-time face recognition, it’s likely the software will be introduced on dashboard cameras well before it’s linked to body cameras.“If face recognition becomes a thing, it will be in the cruisers where the ALPR are,” he said. The opportunity to collect revenue from data-driven arrests might incentivize municipalities to invest in technologies regardless of their accuracy, argues Laperruque, of the Constitution Project. Law enforcement agencies have historically fallen prey to all kinds of emerging, expensive technologies. And as the case with regular body cameras already makes clear, departments are no stranger to purchasing technologies whether or not they actually work.The John Hopkins survey of the new capacities of body camera vendors concluded with a word of caution: “The technology is only as good as the people who implement it. 
=link lost A bipartisan group in the U.S. Congress today said it plans to draft legislation to address facial recognition software use by law enforcement. Calls for action were heard in the House Oversight and Reform Committee from Rep. Alexandria Ocasio-Cortez (D-NY), as well as ranking member Rep. Jim Jordan (R-OH), a Trump supporter who said “seems to me it’s time for a timeout.”“You’ve hit the sweet spot that brings progressives and conservatives together,” Rep. Mark Meadows (R-NC) told committee chair Rep. Elijah Cummings (D-MD). “When you have a diverse group on this committee, as diverse as you might see on the polar ends, I’m here to tell you we’re serious about this, and let’s get together and work on legislation. The time is now before it gets out of control.”<div id="ac-lre-player-ph" style="box-sizing: border-box; background-color: rgb(255, 255, 255);"><div id="ac-lre-player" data-jwplayer-id="ac-lre-player" style="box-sizing: border-box;">The Congressional committee hearing took place at the same time as an Amazon meeting in Seattle, where shareholders <a href="https://venturebeat.com/2019/05/22/amazon-shareholders-decline-to-halt-sale-of-facial-recognition-systems-to-governments/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">voted to reject proposals to halt the sale of Rekognition to governments</a>.“That just means that it’s more important that Congress acts,” said Rep. Jimmy Gomez (D-CA) in response to the shareholder vote.The ACLU <a href="https://venturebeat.com/2018/05/22/amazon-is-selling-facial-recognition-technology-to-u-s-law-enforcement/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">first made public the use of facial recognition software by Amazon roughly one year ago</a>. Since then, audits of Rekognition have found it more likely to work for white men and less likely to recognize people with dark skin, particularly women of color.“I do expect that we are going to be able to get some legislation out on this. I talked to the ranking member, and there is a lot of agreement,” Rep. Cummings said. “The question is ‘Do you have an all-out moratorium and at the same time, try to see how this process can be perfected?’ But there’s a lot of agreement here, thank God.”Trump tech advisor Michael Kratsios <a href="https://venturebeat.com/2019/05/22/oecd-releases-ai-recommendations-for-36-nation-states/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">warned against regulation that stifles innovation</a> today while in Paris to sign on to the Organisation for Economic Co-operation and Development (OECD) AI principles and recommendations. In recent months, a number of bills have been proposed to regulate AI, including <a href="https://venturebeat.com/2019/05/21/u-s-senators-propose-legislation-to-fund-national-ai-strategy/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">legislation introduced Tuesday in the U.S. Senate to fund a national AI strategy</a>.Facial recognition like the kind the used by state and local law enforcement is accessible to at least one in four law enforcement agencies in the United States today, according to analysis by Georgetown University Law Center. Use of driver’s license photo databases for facial recognition means than half of U.S. adults are currently included in searches.A panel that includes facial recognition software experts was nearly unanimous in urging that a national moratorium be put in place until regulation can be enacted or the technology matures. And state <a href="https://venturebeat.com/2019/05/17/ai-weekly-facial-recognition-policy-makers-debate-temporary-moratorium-vs-permanent-ban/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">lawmakers in Washington and Massachusetts are currently considering moratoriums</a> on the use of facial recognition software. Bans on facial recognition use by police and city departments are also being considered in Oakland and Berkeley, following the <a href="https://venturebeat.com/2019/05/14/san-francisco-first-in-nation-to-ban-facial-recognition-software/" target="blank" rel="noopener noreferrer" style="background-color: transparent; box-sizing: border-box; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">first ban in the nation in San Francisco last week</a>.In addition to warning against the use of real-time facial recognition on cameras like the kind police in Detroit and Chicago have, some supported a ban on the use of facial recognition at protests. Doing so could have a chilling effect on the first amendment-protected right to protest and could lead to people avoiding demonstrations because they’re afraid of being monitored, followed, or tracked by the government.“It is fundamentally American to protest and frankly un-American to chill that kind of protest,” University of the District of Columbia law professor Andrew Ferguson said at today’s committee meeting, pointing to a <a href="https://www.baltimoresun.com/news/maryland/crime/bs-md-facial-recognition-suspect-identity-20180629-story.html" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">2015 use of facial recognition at protests</a> following the killing of Freddie Gray by police in Baltimore.MIT Media Lab researcher and <a href="https://www.ajlunited.org/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">Algorithmic Justice League</a> founder Joy Buowamwini coauthored 2018 and 2019 audits of facial recognition software systems, including those made by Amazon, IBM, Face++, and Microsoft, and found they performed poorly on young people, women, and people with dark skin. The results of her work were criticized by AI leaders but <a href="https://venturebeat.com/2019/04/03/prominent-ai-researchers-call-on-amazon-to-stop-selling-rekognition-facial-analysis-to-law-enforcement/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">defended by dozens of prominent AI researchers last month</a>.“At a minimum, Congress should pass a moratorium on the police use of facial recognition, as the capacity for abuse, lack of oversight, and technical immaturity poses great risk, especially for marginalized communities,” she said at the meeting.Buowamwini also urged improvements to the Department of Commerce’s NIST data sets used to evaluate the trustworthiness of facial recognition systems, which she says currently oversample communities of color.Clare Garvie began monitoring police use of facial recognition in the United States in 2016 and last week for the first time called for a national moratorium. Additional research by Garvie and the Georgetown University Center for Privacy and Technology found that police have <a href="https://venturebeat.com/2019/05/16/nypd-used-facial-recognition-and-pics-of-woody-harrelson-to-arrest-a-man/" target="blank" rel="noopener noreferrer" style="box-sizing: border-box; background-color: transparent; text-decoration-line: none; border-bottom: 1px solid rgb(237, 33, 36); overflow-wrap: break-word;">altered images or used photos of celebrities who look like suspects to make arrests</a>, while a number of major cities have acquired real-time facial recognition software systems.“Imagine if we had a fingerprint lab drawing fingerprints or drawing a latent print’s finger ridges with a pen and submitting that to search. That would a scandal, that would be a reason for a mistrial or convictions being overturned, and it’s hugely problematic,” she said to the committee.Dr. Cedric Alexander, former president of the National Organization of Black Law Enforcement Executives, also spoke today, but he does not favor a moratorium or ban.“I kind of cringe in some ways when I hear my colleagues here [say] maybe there should be a complete halt or a moratorium on facial recognition. I’m not sure if that’s the answer,” he said.Instead, he favors creating standards that determine lawful and inappropriate use of the technology and worries that a lack of proper police training or understanding of the technology could have a negative impact on police-community relations.“God knows that’s one thing the police don’t need, considering the environment we’re already in trying to build relationships between police and community,” said Alexander.</div><div style="">=<a href="https://www.hrw.org/news/2019/06/06/history-shows-why-police-use-facial-recognition-tech-can-threaten-rights">https://www.hrw.org/news/2019/06/06/history-shows-why-police-use-facial-recognition-tech-can-threaten-rights</a>Debates in the US about whether police should use facial recognition technology are intensifying. Amazon shareholders recently rejected a <a href="https://www.reuters.com/article/us-amazon-com-facial-recognition/at-amazon-facial-recognition-ban-won-just-2-of-shareholder-vote-idUSKCN1SU2H5" target="blank" rel="noopener noreferrer" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">proposal</a> to stop, at least temporarily, sales of the company’s <a href="https://www.hrw.org/news/2018/05/24/are-us-police-disclosing-use-amazons-face-recognition-technology" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">Rekognition</a> software to government entities. Washington state, home to Amazon and Microsoft, has seen a <a href="https://www.govtech.com/policy/Why-Did-Washington-States-Privacy-Legislation-Collapse.html" target="blank" rel="noopener noreferrer" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">push</a> for regulation. And last month, San Francisco <a href="https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html" target="blank" rel="noopener noreferrer" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">banned</a> the technology’s use by local agencies.Human Rights Watch and other organizations have <a href="https://www.hrw.org/news/2019/01/15/letter-google-face-surveillance-technology" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">called on</a> <a href="https://www.hrw.org/news/2018/05/22/coalition-letter-amazon-regarding-facial-recognition-system-rekognition" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">US companies</a> <a href="https://www.hrw.org/news/2019/01/15/letter-microsoft-face-surveillance-technology" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">not to sell</a> the technology to governments due to rights concerns. Research suggests facial recognition <a href="https://thehill.com/policy/technology/398944-amazon-facial-recognition-misidentifies-members-of-congress-least-accurate" target="blank" rel="noopener noreferrer" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">may be inaccurate</a>, especially for <a href="https://www.theverge.com/2018/2/11/17001218/facial-recognition-software-accuracy-technology-mit-white-men-black-women-error" target="blank" rel="noopener noreferrer" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">people of color and women</a>. Inaccuracy is not the only potential rights problem, however. Since the technology can track where we go and with whom, its use could discourage people from freely expressing themselves and associating with others. It also creates a pool of information that could be misused in a discriminatory manner.These last two concerns are highly significant for some Seattle activists who pointed to lessons of the past in interviews with Human Rights Watch. During World War II, the US government applied then-advanced punch-card reading (or <a href="https://www.census.gov/history/www/innovations/technology/the_hollerith_tabulator.html" target="blank" rel="noopener noreferrer" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">“Hollerith”</a>) machines to non-public census data to <a href="https://www.npr.org/2018/12/26/636107892/some-japanese-americans-wrongfully-imprisoned-during-wwii-oppose-census-question" target="blank" rel="noopener noreferrer" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">target west coast Japanese American communities for incarceration</a>.“We are a community that has been surveilled in the past, and we’re also a community where the latest technological advancements [were] used in our oppression,” said Geoff Froh, deputy director of <a href="https://densho.org/" target="blank" rel="noopener noreferrer" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">Densho</a>, which documents the mass incarceration of Japanese Americans. “Instead of Hollerith machines, we now have facial recognition technology.”In 2000, the Census Bureau <a href="https://www.census.gov/prod/2003pubs/conmono2.pdf#17" target="blank" rel="noopener noreferrer" style="background-image: initial; background-position: 0px 0px; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">acknowledged</a> that its use of census data facilitated the World War II-era abuses.Facial recognition software can scan photographs or videos to identify people and record their locations – not unlike the earlier census data that was mined and misused.Stanley Shikuma of Seattle’s <a href="http://seattlejacl.org/" target="blank" rel="noopener noreferrer" style="background: 0px 0px; text-decoration-line: none; transition-property: color, background-color; transition-duration: 0.4s;">Japanese American Citizens League</a> noted that today’s monitoring technology is even easier to deploy, and highlighted the rights threats to anyone who might face bias or police harassment.“If you think that the police are watching you … when you go to the bank, or you go to the doctor’s office, or you go to the church or the synagogue or the mosque,” you’ll be less likely to exercise those freedoms,” Shikuma said. “I don’t think that’s the kind of society you want, where people are looking over their shoulder because they don’t know which government agency might be watching them.”Human Rights Watch agrees. Congress should impose strong, enforceable limits on this new technology – and in the meantime, companies shouldn’t put it in government hands.  <div>=</div></div><div style="">omfg
<a href="https://www.vanityfair.com/news/2019/04/china-created-a-racist-artificial-intelligence-to-track-muslims">https://www.vanityfair.com/news/2019/04/china-created-a-racist-artificial-intelligence-to-track-muslims</a>The  Chinese government is using facial-recognition software to “track and control” a predominantly Muslim minority group, according to a disturbing new <a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" style="box-sizing: border-box; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none;">report</a> from The New York Times. The Chinese government has reportedly integrated artificial intelligence into its security cameras to identify the Uighurs and appears to be using the information to monitor the persecuted group. The report, based on the accounts of whistleblowers familiar with the systems and a review of databases used by the government and law enforcement, suggests the authoritarian country has opened up a new frontier in the use of A.I. for racist social control—and raises the discomfiting possibility that other governments could adopt similar practices.Two people familiar with the matter told the Times that police in the Chinese city of Sanmenxia screened whether residents were Uighurs 500,000 times in a single month. Documents provided to the paper reportedly show demand for the technology is ballooning: more than 20 departments in 16 provinces sought access to the camera system, in one case writing that it “should support facial recognition to identify Uighur/non-Uighur attributes.” This, experts say, is more than enough to raise red flags. “I don’t think it’s overblown to treat this as an existential threat to democracy,” Jonathan Frankle, an A.I. researcher at the Massachusetts Institute of Technology, told the Times.“Once a country adopts a model in this heavy authoritarian mode, it’s using data to enforce thought and rules in a much more deep-seated fashion than might have been achievable 70 years ago in the Soviet Union. To that extent, this is an urgent crisis we are slowly sleepwalking our way into.”Racial profiling has long been a <a href="https://qz.com/1286533/a-startup-selling-racial-profiling-software-shows-how-ai-can-be-dangerous-way-before-any-robot-apocalypse/" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">concern</a> in the use of artificial intelligence. But in the United States and other Western countries, much of that scrutiny has centered on <a href="https://www.vanityfair.com/news/2018/04/the-trailblazing-roboticist-tackling-diversity-and-bias-in-artificial-intelligence" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">biases</a> built into A.I. systems. Computer scientist Aylin Caliskan put the matter succinctly in a 2017 <a href="https://www.vox.com/science-and-health/2019/1/23/18194717/alexandria-ocasio-cortez-ai-bias" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">interview</a> with Vox: “Many people think machines are not biased. But machines are trained on human data. And humans are biased.” Already, studies have shown this to be the case. A 2016 <a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">investigation</a> by ProPublica found that machine-learning software rated black people at higher risk of committing another crime after an initial arrest. (The software’s conclusions were based on current incarceration rates.) American lawmakers have highlighted these concerns as the A.I. race heats up. “Algorithms are still made by human beings, and those algorithms are still pegged to basic human assumptions,” Rep. Alexandria Ocasio-Cortez <a href="https://www.vox.com/science-and-health/2019/1/23/18194717/alexandria-ocasio-cortez-ai-bias" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">said</a> at an event in January. “They’re just automated assumptions. And if you don’t fix the bias, then you are just automating the bias.”In China, however, the government appears to be exploiting that bias, purposely using the technology to keep tabs on a subset of its population. China has faced increasing criticism from human-rights groups for its treatment of the country’s 11 million Uighurs, about a million of whom are believed to be detained in Chinese indoctrination camps, which the government <a href="https://www.nytimes.com/2019/04/08/world/asia/china-muslims-camps.html" times="times" new="New" roman="Roman" serif="serif" font-size="font-size" px="px" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; box-sizing: border-box; text-decoration-line: none;">characterized</a> to the Times as “vocational training centers that curb extremism.” But the secret use of artificial intelligence as part of its crackdown on the Muslim minority is likely to exacerbate fears about the government’s increasingly aggressive approach to the group, and about the abilities of governments worldwide to use technology for nefarious purposes. China appears to be the first country to use the systems explicitly for racial profiling, but experts are concerned that others will follow. “Take the most risky application of this technology, and chances are good someone is going to try it,” Clare Garvie, an associate at the Center on Privacy and Technology at Georgetown Law, told the Times. “If you make a technology that can classify people by an ethnicity, someone will use it to repress that ethnicity.”<div style="background-color: rgb(255, 255, 255);">=</div></div><div style=""></div><div style=""><div>China's hi-tech war on its Muslim minority | News | The Guardian</div><div>https://wXw.theguardian.com/.../china-hi-tech-war-on-muslim-minority-xinjiang-uighur...</div><div>Apr 11, 2019 - In mid-2017, Alim, a Uighur man in his 20s, returned to China from ... before a security camera equipped with facial recognition software.</div></div><div style="">
</div><div style=""><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAEQAA" data-ved="2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFSgAMAB6BAgBEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;">One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.nytimes.com/.../china-surveillance-artificial-intelligence-racial-profiling.htm...</cite></div></div><div class="s" style="max-width: 48em; line-height: 1.54;">Apr 14, 2019 - The facial recognition technology, which is integrated into China's ... The technology and its use to keep tabs on China's 11 million Uighurs ...</div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAYQAA" data-ved="2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFSgAMAF6BAgGEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/" ping="/url?sa=t&source=web&rct=j&url=https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjABegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/" ping="/url?sa=t&source=web&rct=j&url=https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjABegQIBhAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/" ping="/url?sa=t&source=web&rct=j&url=https://www.hongkongfp.com/2019/04/16/authorities-using-facial-recognition-tech-track-uighur-muslims-across-china-report/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjABegQIBhAB" style="cursor: pointer; text-decoration-line: none;">Authorities using facial recognition tech to track Uighur Muslims across ...</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Apr 16, 2019 - Chinese authorities are using a vast system of facial recognition technology to track its Uighur Muslim minority across the country, according to ...</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAcQAA" data-ved="2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFSgAMAJ6BAgHEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjACegQIBxAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; 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text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjACegQIBxAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/03/china-new-data-breach-exposes-facial-recognition-and-ethnicity-tracking-in-beijing/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjACegQIBxAB" style="cursor: pointer; text-decoration-line: none;">China Is Using Facial Recognition To Track Ethnic Minorities, Even In ...</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">May 3, 2019 - The only surprise is that this time it was in Beijing and not Xinjiang. ... China Is Using Facial Recognition To Track Ethnic Minorities, Even In ...</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAgQAA" data-ved="2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFSgAMAN6BAgIEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; 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text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/" ping="/url?sa=t&source=web&rct=j&url=https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFjADegQICBAB" style="cursor: pointer; text-decoration-line: none;">Megvii, Alibaba-Backed Unicorn Behind Xinjiang Facial Recognition ...</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/+&cd=4&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/%2B%26cd%3D4%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QIDADegQICBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/+&cd=4&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/%2B%26cd%3D4%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QIDADegQICBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">May 8, 2019 - Megvii, the company behind the Xinjiang facial recognition technology exposed ... Surveillance in China is a lucrative business, to say the least.</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAkQAA" data-ved="2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QFSgAMAR6BAgJEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/+&cd=4&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/%2B%26cd%3D4%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QIDADegQICBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">
</a></div></div></div></div></div><div style=""><div style=""><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/+&cd=4&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:PEbBoPkVBTcJ:https://www.forbes.com/sites/zakdoffman/2019/05/08/alibaba-backed-ai-unicorn-behind-xinjiangs-facial-recognition-raises-750-million/%2B%26cd%3D4%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwji2duS2dLiAhUP0KwKHe2ZD50QIDADegQICBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">=</a></div><div style=""><a href="https://www.alternet.org/2019/06/rep-rashida-tlaib-raises-alarm-over-use-of-facial-recognition-as-groups-demand-federal-moratorium-this-stuff-freaks-me-out/">https://www.alternet.org/2019/06/rep-rashida-tlaib-raises-alarm-over-use-of-facial-recognition-as-groups-demand-federal-moratorium-this-stuff-freaks-me-out/</a></div><div style="">
</div><div style="">Before detailing her specific concerns about facial recognition technology during a House Oversight Committee hearing on the subject Tuesday, Rep. Rashida Tlaib expressed a sentiment broadly shared by <a href="https://www.wired.com/story/facial-recognition-tech-creepy-works-or-not/" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; text-decoration-line: none; transition: color 0.3s ease 0s; cursor: pointer;">privacy advocates</a> and the general public.<div class="p1_20" style="box-sizing: border-box; outline: none; margin: 0px; padding: 0px; background-color: rgb(255, 255, 255);">“This stuff freaks me out,” said Tlaib, a Democrat from Michigan. “I’m a little freaked out by facial recognition.”</div><div></div></div><div style=""></div><div style=""><a href="https://wondery.com/shows/american-innovations/">https://wondery.com/shows/american-innovations/</a></div><div style="">
</div><div style="">https://wondery.com/shows/american-innovations/# auf 23 predict future, face recog mood, heartbeat</div><div style="">jane mcg</div><div style="">
</div><div style="">=</div><div style=""><a href="https://www.fastcompany.com/3069264/congress-fbi-face-recognition-real-time-street-lineup">https://www.fastcompany.com/3069264/congress-fbi-face-recognition-real-time-street-lineup</a></div><div style="">
</div><div style="">many link pix</div><div style=""><div>=</div><div>https://www.fastcompany.com/3069264/congress-fbi-face-recognition-real-time-street-lineup</div><div>
</div><div>03.30.17THE FUTURE OF POLICING</div><div>
</div><div>The Vast, Secretive Face Database That Could Instantly ID You In A Crowd</div><div>
</div><div>Amid questions of accuracy and legality, the FBI and police can search images for millions of Americans’ faces, potentially in real time.</div><div>
</div><div>The Vast, Secretive Face Database That Could Instantly ID You In A Crowd</div><div>
</div><div>If you’ve been to the DMV to have your driver’s license photo taken, there’s a good chance your face is in a little-known group of databases that functions like a digital police lineup. Except, in this case, you needn’t even be suspected of a crime, and soon the searching could take place virtually anywhere, anytime.</div><div>
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</div><div>It’s just one example of the exploding use of facial recognition technology in law enforcement, and it’s raising major concerns among U.S. lawmakers and privacy advocates.</div><div>
</div><div>“I’m frankly appalled,” Representative Paul Mitchell, a Republican from Michigan, told Kimberly Del Greco, the FBI’s deputy assistant director of criminal justice, during a House oversight committee hearing last week. “I wasn’t informed when my driver’s license was renewed my photograph was going to be in a repository that could be searched by law enforcement across the country.”</div><div>
</div><div>Watch the exchange between Rep. Mitchell, the FBI’s Kimberly Del Greco, and Alvaro Bedoya of Georgetown’s Law Center:</div><div> </div><div>
</div><div>Mitchell’s face and those of more than 125 million Americans—more than half of the country’s adult population—are thought to be stored in a vast network of databases used by local and federal law enforcement to scan photos and videos of individuals. Many of these faces, which can be searched without reasonable suspicion, belong to people who have never been charged with a crime and have no idea they are being searched.</div><div>
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</div><div>Yet there are few guidelines or legal rulings that govern exactly how face recognition, like a number of other new technologies, should be used by police. In a report last May on the FBI’s system, the Government Accountability Office (GAO) found the FBI had “not fully adhered to privacy laws and policies and had not taken sufficient action to help ensure accuracy of its face recognition technology.” In response to the report, which urged the FBI to conduct regular audits of the system, “the Department of Justice and the FBI disagreed with three recommendations and had taken some actions to address the remainder, but had not fully implemented them,” the GAO said.</div><div>
</div><div>“No federal law controls this technology, no court decision limits it,” said Alvaro Bedoya, executive director of Georgetown Law’s Center on Privacy and Technology, and the coauthor of “The Perpetual Lineup,” a report on the FBI and state face recognition databases. “This technology is not under control.”</div><div>
</div><div>While a few attempts to set limits are inching slowly through state legislatures, the technology is racing ahead. Advancements in machine vision and artificial intelligence are widening the scope of the lineup too: Via body-worn police cameras, which are rapidly proliferating, face searches could happen up-close, at street level and in real-time—anticipating a future in which anonymity in certain public places could disappear.</div><div>
</div><div>It’s this pairing of technologies in particular—the ability to scan and identify faces on the street—that is the “most concerning” from a privacy and First Amendment perspective, said Jason Chaffetz, Republican representative from Utah and chairman of the House Oversight committee. A 2014 Justice Dept. report also highlighted the combination, warning that using body cameras with “facial recognition systems and other new technologies like live feed and auto recording . . . may pose serious risks to public privacy.” In the legal vacuum surrounding their use, agencies exploring these technologies should “proceed very cautiously,” the report said.</div><div>
</div><div>“Imagine the world where the cops are going down the street and they’ve got Google Glass on and their body cameras are recognizing people,” says Barry Friedman, the director of the Policing Project at New York University School of Law. “And it’s not just recognizing them, but they’re getting their security scores at the same time, and people are getting colored based on how dangerous the algorithms think they are. That’s one scary world.”</div><div>
</div><div>Already law enforcement is pairing real-time face recognition software with footage from surveillance cameras, and police officers around the country are using face recognition apps on mobile phones to more quickly identify suspects they stop on the street. In New York, it emerged this week that police are beginning to acquire face recognition technology to scan the faces of all drivers commuting between the five boroughs.</div><div>
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</div><div>QUESTIONS OVER LEGALITY AND ACCURACY</div><div>
</div><div>Of immediate concern to Congress was the legality of the FBI’s system. With the FBI’s Del Greco in the hot seat, a number of committee members asked why the agency hadn’t published a privacy report of its face recognition system until 2015, years after it first deployed the technology in public, in 2010.</div><div>
</div><div>FBI facial recognition timeline via GAO</div><div>
</div><div>A timeline of the FBI’s facial recognition system illustrates the delay in the FBI’s privacy auditing. Image via GAO.</div><div>Had anyone at the FBI been reprimanded for the delay? Rep. Mitchell asked.</div><div>
</div><div>“I have no knowledge,” Del Greco said. “There are days ignorance is bliss,” he fired back.</div><div>
</div><div>Del Greco said the FBI had advised its privacy attorney internally throughout the roll-out of the system.</div><div>
</div><div>“We don’t believe you,” Chaffetz said, “and you’re supposed to make it public.” He also alleged that the FBI “went out of its way” to exempt its facial recognition database from the Privacy Act.</div><div>
</div><div>“So here’s the problem,” said Chaffetz. “You’re required by law to put out a privacy statement and you didn’t and now we’re supposed to trust you with hundreds of millions of people’s faces.”</div><div>
</div><div>
</div><div>Del Greco defended the agency’s use of what she referred to as “face services,” saying it had “enhanced the ability to solve crime,” emphasized that privacy was of utmost importance at the FBI, and said that the system was not used to positively identify suspects, but to generate “investigative leads.” In one recent positive outcome for the technology, Charles Hollin, an alleged child molester, was caught after spending 18 years as a fugitive, thanks to a database that contained his passport photo.</div><div>
</div><div>Currently, 18 U.S. states let the FBI use face-recognition technology to compare suspected criminals to their driver’s license or other ID photos. These, in addition to criminal and civil mug shots, and photos from the U.S. State Department’s passport and visa records, are part of a set of databases used by the FBI and police across the country. Over the past decade and a half, 29 states have allowed police agencies and the FBI to search their repositories of drivers’ faces during investigations.</div><div>
</div><div>“I have zero confidence in the FBI and the [Justice Department], frankly, to keep this in check,” Rep. Stephen Lynch, a Democrat from Massachusetts, said.</div><div>
</div><div>After the hearing, Bedoya, a former chief counsel for Sen. Al Franken of Minnesota, noted that the discussion had inspired a rare moment of bipartisan agreement. “The opposition to the use of driver’s licenses was remarkably strong and remarkably uniform across party lines,” he said. “In my five years as a Senate staffer, I never saw anything like it on a similar privacy issue.”</div><div>
</div><div>In some ways, the FBI’s approach to face recognition resembles how police traditionally try to match fingerprints at a crime scene to those of criminals. In this case, however, the “prints” include the faces of millions of innocent people, often collected and scanned without their knowledge, according to the analysis by Bedoya and his colleagues. It estimated that around 80% of the faces searchable by the FBI belong to individuals who have never been charged with a crime.</div><div>
</div><div>In under half a decade, they found, the FBI searched drivers’ faces more than 36,000 times, without warrants, audits, or regular accuracy tests. In Florida, police are encouraged to use face recognition “whenever practical.” (Individually, dozens of states also use face recognition to crack down on fraudsters applying for duplicate driver’s licenses, for instance.)</div><div>
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</div><div>To access the FBI’s networked databases of faces, an authorized, participating police agency need only show that its search is for “law enforcement purposes,” said Del Greco of the FBI. Those criteria are determined by individual states, she noted.</div><div>
</div><div>Imagine going to the DMV to renew your license, Bedoya wrote in a recent op-ed in the Washington Post. “What if you—and most other teens in the United States—were then asked to submit your fingerprints for criminal investigations by the FBI or state police?”</div><div>
</div><div>In scope, he argues, the face-matching system resembles the National Security Agency’s call-records program, which logged the metadata of all Americans’ phone calls. “This has never happened before—not with DNA or fingerprints, which are kept in smaller national networks made up mostly of known or suspected criminals. Yet law-enforcement face-recognition systems have received a fraction of the NSA’s oversight.”</div><div>
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</div><div>The possibility of misidentification and false positives is also worrisome, especially because the FBI has not been keeping track of such failures. “It doesn’t know how often the system incorrectly identifies the wrong subject,” explained the GAO’s Diana Maurer. “Innocent people could bear the burden of being falsely accused, including the implication of having federal investigators turn up at their home or business.”</div><div>
</div><div>More worrisome, research shows that facial recognition appears to disproportionately impact minority communities. A report that was co-written by the FBI in 2012 found that the technology exhibited a higher number of failure rates with darker faces, a function of the kinds of data that humans input as they train the algorithms.</div><div>
</div><div>“If you are black, you are more likely to be subjected to this technology, and the technology is more likely to be wrong,” said Elijah Cummings, a congressman for Maryland. “That’s one hell of a combination. Just let that sink in.”</div><div>
</div><div>The FBI, like other law enforcement agencies, has argued that the algorithms are race-blind, and reiterates that face searches are only used as “investigatory” leads. “This response is very troubling,” Cummings noted. “Rather than conducting testing that would show whether or not these concerns have merit, the FBI chooses to ignore growing evidence that the technology has a disproportionate impact on African Americans.”</div><div>
</div><div>Friedman notes that racial concerns aren’t exclusive to face recognition. “A lot of these technologies, just because of how they’re deployed, come with racialized aspects. If you’re using license plate readers in more heavily policed neighborhoods, you’re picking up more data in those neighborhoods. That’s something we need to be very aware of and thoughtful about.”</div><div>
</div><div>Related Story: Police Body Cameras Will Do More Than Just Record You</div><div>
</div><div>CHILLING EFFECTS</div><div>
</div><div>A plethora of private companies already have your face in all of its biometric glory, provided it’s ever been uploaded to the servers of firms like Apple, Google, and Facebook. As these companies pile millions into AI research—in part, to better find you and objects in photos—a number of startups are also racing to automatically analyze the world’s video. One startup, Kairos, aims to let Hollywood and ad agencies study audiences’ emotional responses and help theme park visitors more easily find and purchase photos of themselves. Another, Matroid, launched this week by researchers at Stanford, focuses on analyzing television appearances and scanning surveillance video.</div><div>
</div><div>“Google can give you pictures of cats, but not cat with grandpa or cat with grandpa and Christmas tree or with your son,” Pete Sonsini, a general partner at New Enterprise Associates, which is funding Matroid to an unspecified tune, told Bloomberg. “It’s really powerful for any human to be able to create a detector that can identify any image or set of images or face from their dataset.”</div><div>
</div><div>Banks are using biometric technology to provide better personal verification, eventually allowing people to pay with their face. Airlines are imagining using biometrics to let passengers board an airline without a paper ticket. At a conference this week in Orlando, NEC, the Japanese company whose facial recognition algorithms are considered the most accurate by the Dept. of Homeland Security, released new features for its software suite which include a “virtual receptionist” and a system by which “age/gender recognition can trigger tailored advertisements/greetings and can trigger notifications to sales personnel for immediate follow-up and interaction,” said a press release.</div><div>
</div><div>Another app, installed on a hotel’s cameras, would notify hotel receptionist and concierge services when a VIP or high value customer arrives at any of the building’s entrances. “This will allow them to receive them in person, greet them by their name, and provide them a better service. Also this can be used to identify any staff that were terminated when they enter the property and take appropriate action.”</div><div>
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</div><div>At Beijing’s Temple of Heaven Park, meanwhile, biometrics are already being used to ration toilet paper, CNN reported last week: “The facial recognition program keeps the dispenser from offering another round to the same person; if you need more, you reportedly need to sit tight—literally—for nine minutes.”</div><div>
</div><div>Still, the most profitable applications for biometrics lie in the fast-growing law enforcement and public safety sector. Industry executives and police experts say that the next stage of the technology—automatically scanning public places for faces and objects in real time—could help more quickly find armed and dangerous or missing persons, identify critical moments amid torrents of body and dash cam footage, or even perhaps identify biased policing.</div><div>
</div><div>In many communities, automatic license plate readers—brick-sized cameras mounted on the back of patrol cars—already do something similar with cars, archiving and cross-referencing every license plate they pass in real time to check for outstanding warrants or traffic violations.</div><div>
</div><div>These are also the most worrisome applications, privacy advocates say, given the general secrecy that surrounds them, the few restrictions on their use, and the ability to track individuals. Pairing face-matching algorithms with body cameras, said Bedoya, “will redefine the nature of public spaces.”</div><div>
</div><div>
</div><div>Even the mere prospect of the technology could have a chilling effect on people’s First Amendment rights, privacy advocates warn. In some cities, police are restricted from filming at protests and demonstrations—unless a crime is thought to be in progress—for this reason.</div><div>
</div><div>Other police departments, however, have routinely filmed protesters: In New York, for instance, the NYPD sent video teams to record Occupy and Black Lives Matter protests hundreds of times, and apparently without proper authorization, agency documents released this week show.</div><div>
</div><div>“Will you attend a protest if you know the government can secretly scan your face and identify you—as police in Baltimore did during the Freddie Gray protests?” Bedoya writes. “Do you have the right to walk down your street without having your face scanned? If you don’t, will you lead your life in the same way? Will you go to a psychiatrist? A marriage counselor? An Alcoholics Anonymous meeting?”</div><div>
</div><div>Rep. Chaffetz appeared to support one controversial application of face recognition: using it to find undocumented immigrants. The Dept. of Homeland Security stores the faces of every visitor in its own database, and is determined to better track those who overstay their visas; in 2015, the agency estimated 500,000 overstays.</div><div>
</div><div>“I think it is absolutely a concern that face recognition would be used to facilitate deportations,” Rachel Levinson-Waldman, senior counsel to the Brennan Center’s National Security Program at New York University School of Law, told The Intercept‘s Ava Kofman. “We’re seeing how this administration is ramping up these deportation efforts. They’re looking much more widely.”</div><div>
</div><div>Generally, however, Chaffetz urged firmer limits. The technology “can also be used by bad actors to harass or stalk individuals,” he said. “It can be used in a way that chills free speech and free association by targeting people attending certain political meetings, protests, churches, or other types of places in the public.”</div><div>
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</div><div>“And then having a system, with a network of cameras, where you go out in public, that too can be collected. And then used in the wrong hands, nefarious hands… it does scare me. Are you aware of any other country that does this? Anybody on this panel? Anybody else doing this?”</div><div>
</div><div>Neither Del Greco nor other members of the panel responded.</div><div>
</div><div>Jennifer Lynch, a staff attorney at the Electronic Frontier Foundation, noted that “we don’t yet appear to be at point where face recognition is being used broadly to monitor the public.” But, she said, “it is important to place meaningful checks on government use of face recognition now before we reach a point of no return.”</div><div>
</div><div>Real-time face recognition is coming to law enforcement; the question is how the technology itself will be policed, and what role the public will have in dictating its use. “If we’re going there, then we better be going there together,” said Friedman, of the Policing Project. “Did we all discuss this and agree to this?”</div><div>
</div><div>To improve the use of face recognition, Bedoya and other privacy advocates urge well-defined limits. The FBI should only access mugshot databases with reasonable suspicion of a crime, and, if it’s a forensic use—a face recognition scan on surveillance footage, for instance, as opposed to a police officer photographing a person he has stopped—the technology should only be used in cases of felonies.</div><div>
</div><div>For databases containing drivers license photos, Bedoya says law enforcement should have express consent from state legislatures, and only search those databases when they have probable cause to implicate the subject for a serious offense, like the kind required for a wiretap. The FBI should also regularly scrub its databases to remove innocent people, be more transparent about how it uses the technology, and, as the GAO recommended, conduct audits to ensure the software meets privacy and accuracy requirements.</div><div>
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</div><div>Policing veterans have also expressed discomfort with the use of the technology. In December, a guide to body cameras published by the Constitution Project, a nonpartisan think tank, and co-authored by a handful of retired police officials, warned that the privacy risks of video “tagging” technologies were “immense” because they “have the potential to end anonymity, catalog every person at a sensitive location or event, and even facilitate pervasive location tracking of an individual over a prolonged period of time.”</div><div>
</div><div>In an interview about the future of body cameras, Bill Schrier, the former chief information officer at the Seattle Police Department and a 30-year veteran of government technology, told me that “most reasonable people don’t want potentially dangerous felons or sex offenders walking around in public and would, I think, support such use” of real-time face recognizing body cameras in those cases.</div><div>
</div><div>But used to catch people wanted for “misdemeanors such as unpaid traffic tickets or pot smoking,” real-time face recognition could be dangerous. That, he said, could “seriously undermine faith in government, and start us down the road to a police state.”</div><div>
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</div><div style=""></div><div style=""><a href="http://www.npr.org/sections/alltechconsidered/2016/05/18/477819617/facebooks-facial-recognition-software-is-different-from-the-fbis-heres-why">http://www.npr.org/sections/alltechconsidered/2016/05/18/477819617/facebooks-facial-recognition-software-is-different-from-the-fbis-heres-why</a></div><div style="">
</div><div style="">no link pix</div><div style=""><div>---</div><div>Facebook's Facial Recognition Software Is Different From The FBI's. Here's Why</div><div>
</div><div>May 18, 20169:30 AM ET</div><div>NAOMI LACHANCE</div><div>
</div><div>Enlarge this image</div><div>Facebook's Moments app uses facial recognition technology to group photos based on the friends who are in them. Amid privacy concerns in Europe and Canada, the versions launched in those regions excluded the facial recognition feature.</div><div>Facebook</div><div>When someone tags you in a photo on Facebook, it's often a nice reminder of a shared memory. It lets your whole social network see what you've been up to or where you've been.</div><div>
</div><div>A Look Into Facebook's Potential To Recognize Anybody's Face</div><div>ALL TECH CONSIDERED</div><div>A Look Into Facebook's Potential To Recognize Anybody's Face</div><div>Well, to three men from Illinois, this feature takes on a much more sinister capacity. They argue that when someone tags you in a photo on Facebook without your consent, Facebook is breaking the law — and a federal judge has allowed the case to proceed.</div><div>
</div><div>Facebook is hardly the only facial recognition technology that exists, but this company in particular is being challenged because its capabilities are so powerful. In Europe and Canada this month, privacy advocates won a victory when Facebook launched its photo app, Moments, without facial recognition scanning.</div><div>
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</div><div>Learn More About Facebook AI Research from Facebook on Vimeo.</div><div>
</div><div>"There are more [facial recognition] algorithms and techniques than there are companies," says Jonathan Frankle, staff technologist at the Georgetown Center on Privacy and Technology. But with its huge database of images, Facebook's algorithm has a leg up on most others in that it is constantly being taught how to improve. Every time you tag a photo, you're adding to an enormous, user-driven wealth of knowledge and data.</div><div>
</div><div>Article continues after sponsorship</div><div>
</div><div>Can Computer Programs Be Racist And Sexist?</div><div>ALL TECH CONSIDERED</div><div>Can Computer Programs Be Racist And Sexist?</div><div>Every time one of its 1.65 billion users uploads a photo to Facebook and tags someone, that person is helping the facial recognition algorithm. The tag shows the algorithm what someone looks like from different angles and in different lights, Frankle says. If you give Facebook a face to identify, it has fewer photos to parse through, because it's only looking at photos of you and your friends.</div><div>
</div><div>Facebook, according to the company, is able to accurately identify a person 98 percent of the time. Compare that with the FBI's facial recognition technology, Next Generation Identification, which according to the FBI, identifies the correct person in the list of the top 50 people only 85 percent of the time. Facial recognition in the Google Photos app is prone to error as well — the company came under fire last year when its system tagged two African-Americans as gorillas.</div><div>
</div><div>How To Make Your Face (Digitally) Unforgettable</div><div>ALL TECH CONSIDERED</div><div>How To Make Your Face (Digitally) Unforgettable</div><div>Part of why the FBI's technology has such a large margin of error is that its database usually only has a photo taken straight on — a mug shot, or in several states, a driver's license photo. The software has to look through a huge database to find a match, and each photo is often of a different person. Grainy security footage can be problematic.</div><div>
</div><div>"It's much harder for face recognition to work when you're trying to identify one person from a very large database versus one from a very small database, which is what Facebook is doing," says Jennifer Lynch, staff attorney at the Electronic Frontier Foundation.</div><div>
</div><div>Another reason Facebook is a target for privacy advocates is that its database — so carefully updated and tended — is tempting to the FBI. Law enforcement officials can issue a warrant for any information available on Facebook, including tagged photos.</div><div>
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</div><div>Photo Identification: The 'Best And Worst Way' To ID People</div><div>"The FBI has said publicly that they do not put these photographs in the facial recognition database, but there is nothing in the law to prevent them from doing that," Lynch says.</div><div>
</div><div>Be careful about conspiracy theory rabbit holes, though. "People don't have a good intuition for what is and isn't possible," Frankle says. "And a lot of times until you've written code and tried to do this yourself it's hard to have a real visceral sense for just how hard some of this stuff is."</div><div>
</div><div>So next time you tag a friend on Facebook, go ahead — just remember that you're helping to train one of the most powerful facial recognition systems in the world.</div></div><div style=""></div><div style=""><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html">https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html</a></div><div style="">
</div><div style="">dawn of dystopia or just new fingerprint?</div><div style=""><header class="css-g9zndl e12qa4dv1" style="margin: 2.8125rem 0px 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; background-color: rgb(255, 255, 255);"><div class="css-xt80pu e12qa4dv0" style="margin: 0px auto 20px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><div class="css-acwcvw epjyd6m0" style="margin: 0px 0px 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;"><div class="css-vp77d3 epjyd6m1" style="margin: 0px 0px 15px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; -webkit-box-align: center; align-items: center; width: 600px;"><div class="css-1baulvz" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline-block;"><p class="css-16vrk19 e1jsehar1" itemprop="author" itemscope="" itemtype="http://schema.org/Person" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: 700; font-stretch: inherit; line-height: 1.25rem; vertical-align: baseline; display: inline-block; letter-spacing: 0.02em;"> <a href="https://www.nytimes.com/by/julie-bosman" class="css-1riqqik e1jsehar0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; text-decoration-line: none; display: inline;"><span class="css-1baulvz" itemprop="name" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline-block; text-decoration-line: underline; text-decoration-color: rgb(204, 204, 204);">Julie Bosman</a> and <a href="https://www.nytimes.com/by/serge-f-kovaleski" class="css-1riqqik e1jsehar0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; text-decoration-line: none; display: inline;"><span class="css-1baulvz" itemprop="name" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline-block; text-decoration-line: underline; text-decoration-color: rgb(204, 204, 204);">Serge F. Kovaleski</a></div></div><ul class="css-1w5cs23 epjyd6m2" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; list-style: none; display: flex; -webkit-box-pack: justify; justify-content: space-between; -webkit-box-align: center; align-items: center; flex-wrap: wrap;"><li style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; list-style: none;"><time class="css-rs1psd e16638kd0" datetime="2019-05-18" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.125rem; vertical-align: baseline; letter-spacing: 0.02em; width: auto; display: inline-block;">May 18, 2019</time></li><li class="css-6n7j50" style="margin: 0px; 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font-stretch: inherit; line-height: inherit; vertical-align: baseline; list-style: none;"><li class="css-60hakz" style="margin: 0px 16px 0px 0px; padding: 10px 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline; width: 100%; list-style: none;" /><li class="css-60hakz" style="margin: 0px 16px 0px 0px; padding: 10px 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline; width: 100%; list-style: none;" /><li class="css-60hakz" style="margin: 0px 16px 0px 0px; padding: 10px 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline; width: 100%; list-style: none;" /><li class="css-60hakz" style="margin: 0px 16px 0px 0px; padding: 10px 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline; width: 100%; list-style: none;"><div class="css-6n7j50" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline;" /></li><li class="css-60hakz" style="margin: 0px; padding: 10px 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: inline; width: 100%; list-style: none;"><button type="button" class="css-1h5igzw" aria-label="Save articles and visit later on any device" style="margin: 0px; vertical-align: middle; padding: 0px; border-width: initial; border-style: none; border-color: initial; cursor: pointer; background-color: rgb(255, 255, 255); left: 0px; position: relative; top: 2px;"><svg stroke="none" width="16px" height="25px" viewbox="0 0 16 25" class="css-ubw31m"><g stroke="none" stroke-width="1" fill="none" fill-rule="evenodd"><g stroke="#666" fill="none"><path fill="none" d="M0.5,0.5 L0.5,24.5 L8.1716264,19.5137775 L15.5,24.4404006 L15.5,0.5 L0.5,0.5 Z" /></g></g></svg></button></li></ul></div></div></li></ul></div></div></header><section name="articleBody" itemprop="articleBody" class="meteredContent css-1i2y565" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;"><div class="css-1fanzo5 StoryBodyCompanionColumn" style="background-color: rgb(255, 255, 255); margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 465px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">Every couple of months, Officer Michael Zinn of the York Area Regional Police Department in Pennsylvania ran a photo of a man through the department’s facial recognition software. In a year and a half of searches, the result was always the same: No hits.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The man was a suspect in the July 2016 sexual assault of a 15-year-old, but his identity remained a mystery. The photo came from the cellphone of the victim, who had <a class="css-1g7m0tk" href="https://www.apnews.com/e0a56374618840cf88e78637428d63d0" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">exchanged</a> text messages and pictures with the suspect before the assault.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">Then last December, Officer Zinn ran a search again, comparing the man’s picture with database images of mug shots and driver’s licenses. This time, he got a possible match.<p class="css-exrw3m evys1bk0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“It was a really good feeling,” he said. “If it wasn’t for facial recognition, it would still be an open case. We really didn’t have a whole lot of leads to go on.”</div><aside class="css-o6xoe7" style="margin: 0px 0px 0px auto; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; width: 210px; -webkit-box-align: center; align-items: center;"><div class="css-ke163a" data-testid="article-companion-wrapper" style="margin: 25px auto 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; max-width: 1200px;"><div class="css-48vsi0" id="newsletter-module" style="margin: 0px auto 0px 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; overflow: hidden; width: 180px;"><div class="css-1k9ek97" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;"><div class="css-tjpxhb" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; position: relative; width: 180px;"><div name="regilite" class="css-sefkcv" method="post" autocomplete="off" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; height: auto; width: 180px;"><div style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;" /></div></div></div></div></div></aside></div><div class="css-190ncxp" style="background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 1571px; height: 1rem;"><div class="css-1fanzo5 StoryBodyCompanionColumn" style="margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 690px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">Facial recognition technology raises fears of a dystopian surveillance state, with vanishing privacy and a high potential for abuse. Such concerns led <a class="css-1g7m0tk" href="https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html?module=inline" title="" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">San Francisco this week</a> to ban any use of facial recognition by the police and other city agencies.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">But it is also a powerful and efficient tool that, much like DNA analysis, offers a way to bring policing into the modern age and help catch wrongdoers or solve crimes that have gone cold.<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">It has been used to arrest men accused of child sex abuse, including a <a class="css-1g7m0tk" href="https://www.fbi.gov/news/stories/long-time-fugitive-neil-stammer-captured" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">fugitive who had fled to Nepal</a> and a man in Oklahoma who had been at large for two decades. It has helped nab <a class="css-1g7m0tk" href="https://www.aspentimes.com/news/chilean-suspects-identified-in-aspen-jewelry-robbery/" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">a trio of jewel thie</a>f suspects and people who the authorities said were trying to enter the country <a class="css-1g7m0tk" href="https://www.washingtonpost.com/local/public-safety/face-recognition-technology-spots-impostor-arriving-at-dulles-government-says/2018/10/03/4e45b3fa-c6cb-11e8-b1ed-1d2d65b86d0c_story.html?utm_term=.73e9b24f0f38" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">under fake names</a>.<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The man in Pennsylvania, Robert Kusma, 33, was arrested and charged days after Officer Zinn identified him, and the police said he admitted to the assault. He has not yet entered a plea in the case, and his lawyer did not respond to attempts to contact him.<p class="css-exrw3m evys1bk0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">It is difficult to say exactly how many of the nation’s 18,000 police departments use facial recognition or how they deploy it. Some departments have been <a class="css-1g7m0tk" href="https://theintercept.com/2018/03/06/new-orleans-surveillance-cameras-nopd-police/" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">caught using it</a> without the public’s knowledge, or <a class="css-1g7m0tk" href="https://www.usatoday.com/story/tech/2018/06/30/geofeedia-software-police-say-could-have-helped-track-capital-gazette-shooter/746009002/" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">to search crowds of protesters</a> for people with outstanding warrants.</div></div><div class="css-190ncxp" style="background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 1571px; height: 1rem;"><div class="css-1fanzo5 StoryBodyCompanionColumn" style="background-color: rgb(255, 255, 255); margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 750px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="font-weight: inherit; margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">But since the San Francisco ban, several agencies have come forward to argue that it is counterproductive to forbid any use of what they call a valuable tool that generates investigative leads.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">Some departments, including the New York Police Department, have policies that say that a possible match found by facial recognition does not constitute an identification or probable cause for an arrest.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“We never make an arrest based solely on facial recognition,” said Capt. Chuck Cohen of the Indiana State Police and executive director of the Indiana Intelligence Fusion Center since late 2015. The state police have used it for a decade, scanning images of people against databases of pictures in state records and using algorithms to produce a list of individuals who could be a match. The Indiana State Police run the fusion center, which provides help to the more than 600 local law enforcement agencies in the state.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">In one recent case, state police using facial recognition were able to identify a suspect in an attempted murder in Central Indiana, after a friend of the victim recorded a verbal argument between the suspect and the victim that escalated into a physical attack. The victim, who was shot, did not know the assailant’s identity.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“In this case, local law enforcement had a very good video image of the person, but couldn’t identify him,” Captain Cohen said. “This was not the only piece of evidence, but it was a lead.”</div><span style="font-weight: inherit; margin-left: auto; border-style: initial; border-color: initial; border-image: initial; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; align-items: center;"><aside class="css-o6xoe7" style="margin: 0px 0px 0px auto; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; width: 210px; -webkit-box-align: center; align-items: center;" /></div><div class="css-79elbk" data-testid="photoviewer-wrapper" style="background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; position: relative;"><div class="css-z3e15g" data-testid="photoviewer-wrapper-hidden" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; position: fixed; opacity: 0; top: 0px; left: 0px; bottom: 0px; right: 0px; transition: opacity 0.2s ease 0s; pointer-events: none;"><div data-testid="photoviewer-children" class="css-1e36oym ehw59r12" height="457.734375px" width="720px" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; 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vertical-align: baseline; position: absolute; display: flex; flex-direction: column; -webkit-box-pack: center; justify-content: center; z-index: 1; top: 0px; left: 1341px; width: 200px; height: 740px; opacity: 0;"><span class="css-8i9d0s e13ogyst0" style="margin: 0px 7px 0px 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.25rem; vertical-align: baseline; display: block;">A facial recognition system for law enforcement at a technology conference in Washington.<span itemprop="copyrightHolder" class="css-vuqh7u e1z0qqy90" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.125rem; vertical-align: baseline; display: block; letter-spacing: 0.01em;"><span class="css-1ly73wi e1tej78p0" style="margin: -1px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; 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padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.25rem; vertical-align: baseline;">[A facial recognition system for law enforcement at a technology conference in Washington.<span itemprop="copyrightHolder" class="css-vuqh7u e1z0qqy90" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.125rem; vertical-align: baseline; display: inline-block; letter-spacing: 0.01em;"><span class="css-1ly73wi e1tej78p0" style="margin: -1px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; position: absolute; width: 1px; height: 1px; clip: rect(0px, 0px, 0px, 0px); overflow: hidden;">Credit<span style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">Saul Loeb/Agence France-Presse — Getty Images]</figcaption></figure></div></div><div class="css-1fanzo5 StoryBodyCompanionColumn" style="background-color: rgb(255, 255, 255); margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 180px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">In a twist, the agency has also used facial recognition to track down crime victims, this time in a case in which a man was extorting girls and women over the internet to perform sexual acts or mutilate themselves. Some of them may never have been found but for facial recognition, using video that had been collected by the man, Captain Cohen said.
</div><aside class="css-o6xoe7" style="margin: 0px 0px 0px auto; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; width: 210px; -webkit-box-align: center; align-items: center;" /></div><div class="css-190ncxp" style="background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 1571px; height: 1rem;"><div class="css-1fanzo5 StoryBodyCompanionColumn" style="margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 1215px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="font-weight: inherit; background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">In one case in Phoenix in 2017, the police used a perpetrator’s own cellphone to identify a suspect. Witnesses saw a knife-wielding assailant chase a man into the street and stab him several times. When the attacker fled, he left his cellphone behind; the police sent selfies from the phone to the state Department of Public Safety, whose facial recognition unit produced a potential match.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The suspect in the case, Roberto Santiago-Escobar, pleaded guilty to aggravated assault last year.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">But there are no national guidelines for how facial recognition should be used. Several states, including Maryland and Indiana, allow the police to search large databases such as driver’s license photos. But in Oregon, they search only against images collected in criminal proceedings, like mug shots. Private companies may offer to run images against photographs collected from more disparate sources, like social media.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“With regard to driver’s licenses, it is an ethical dilemma because we are searching the faces of citizens who never consented to this type of search in the first place,” said Chris Adzima, senior information systems analyst at the Washington County Sheriff’s Office in Oregon, which has been using facial recognition technology for about two years. “When you take your photo at the D.M.V., it is not considered a public record.”<p class="css-exrw3m evys1bk0" style="font-weight: inherit; background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">He said that the sheriff’s office has used it for cases ranging from “murder to shoplifting and in between.”<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The technology has been most effective in solving property crimes, like package thefts, pulling images from video doorbells and surveillance cameras, he said.<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The police have used facial recognition to identify a suspect already in custody. After the killings of five employees at a newspaper in Annapolis, Md., last June, the police apprehended a suspect at the scene who refused to identify himself. The police used a scan through the Maryland Image Repository System of mug shots and driver’s licenses, which helped reveal his name, Jarrod Ramos.<p class="css-exrw3m evys1bk0" style="font-weight: inherit; background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“We would have been much longer in identifying him and being able to push forward,” Timothy Altomare, chief of the Anne Arundel County Police Department, <a class="css-1g7m0tk" href="https://www.nytimes.com/2018/06/29/business/newspaper-shooting-facial-recognition.html?module=inline" title="" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">said</a> at the time.</div><span style="font-weight: inherit; background-color: rgb(255, 255, 255); margin-left: auto; border-style: initial; border-color: initial; border-image: initial; font-style: inherit; font-variant: inherit; font-stretch: inherit; line-height: inherit; align-items: center;"><aside class="css-o6xoe7" style="margin: 0px 0px 0px auto; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; width: 210px; -webkit-box-align: center; align-items: center;" /></div><div class="css-190ncxp" style="background-color: rgb(255, 255, 255); margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 1571px; height: 1rem;"><div class="css-1fanzo5 StoryBodyCompanionColumn" style="margin: 0px auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; flex-direction: row; height: 1455px; width: 1200px;"><div class="css-53u6y8" style="margin: 0px 0px 0px calc((100% - 600px) / 2); padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; width: 600px; max-width: 600px;"><p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The use of facial recognition by law enforcement to identify suspects raises particular concerns because of high inaccuracy rates and striking <a class="css-1g7m0tk" href="https://www.theatlantic.com/technology/archive/2016/04/the-underlying-bias-of-facial-recognition-systems/476991/" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">racial disparities</a> in how the algorithms can correctly identify people.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">And there are open questions about whether defendants are informed by prosecutors about how they were identified and given pertinent information that might be used to challenge that identification. Two new reports from the Georgetown Law Center on Privacy & Technology say facial recognition has been <a class="css-1g7m0tk" href="https://www.flawedfacedata.com/" title="" rel="noopener noreferrer" target="blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">deployed irresponsibly</a> by the police and conjure images of <a class="css-1g7m0tk" href="https://www.americaunderwatch.com/" title="" rel="noopener noreferrer" target="_blank" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">a futuristic surveillance state</a> in Detroit and Chicago. Clare Garvie, an author of both reports, believes that a moratorium on facial recognition is necessary, given the lack of regulation around the technology.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“There is a fundamental absence of transparency around when and how police use face recognition technology,” Ms. Garvie said. “The risks of misidentification are substantial.”<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">In a case in New York detailed in one of the reports, a police detective noted that a suspect resembled the actor Woody Harrelson, so he ran a picture of Mr. Harrelson through the facial recognition software. “This celebrity ‘match’ was sent back to the investigating officers, and someone who was not Woody Harrelson was eventually arrested for petit larceny,” the report said.<p class="css-exrw3m evys1bk0" style="margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The New York Police Department declined to say whether the man had been convicted, but defended its use of the technology, saying that all leads were verified through investigation and that facial recognition had led to arrests in homicides, rapes and robberies and had even helped identify a woman with Alzheimer’s.<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">“The NYPD has been deliberate and responsible in its use of facial recognition technology,” the department said in a statement. “We compare images from crime scenes to arrest photos in law enforcement records. We do not engage in mass or random collection of facial records from NYPD camera systems, the internet, or social media.”<p class="css-exrw3m evys1bk0" style="background-color: rgb(255, 255, 255); margin: 0px 0px 0.9375rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">The Georgetown report, relying on documentation from the department, cited two cases in which potential suspects were identified by facial recognition software — one person arrested based solely on a possible match, and a second individual identified by a facial recognition comparison and then a text message to the crime victim. In neither case, the report states, was a lineup or in-person identification conducted.<p class="css-exrw3m evys1bk0" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.875rem; vertical-align: baseline; width: 600px; max-width: 100%;">According to internal police department documents obtained by Ms. Garvie, from 2010 through 2016, more than 2,800 arrests were made as a result of facial recognition comparisons. In 2018 alone, more than 8,000 cases involved the use of facial recognition as an investigative tool.</div><span style="background-color: rgb(255, 255, 255); margin-left: auto; border-style: initial; border-color: initial; border-image: initial; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; align-items: center;"><aside class="css-o6xoe7" style="margin: 0px 0px 0px auto; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; display: flex; width: 210px; -webkit-box-align: center; align-items: center;" /></div></div></div></div></div></div></section><div class="bottom-of-article" style="margin: 0px; padding: 0px; border: 0px; text-size-adjust: 100%; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline; background-color: rgb(255, 255, 255);"><div class="css-1ubp8k9" style="margin: 1rem auto 1.25rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: italic; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.75rem; vertical-align: baseline; width: 600px; max-width: 600px;"><div class="css-1yif149" style="margin: 2rem auto 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: 1.375rem; vertical-align: baseline; width: 600px; max-width: 600px;"><p style="margin: 0px 0px 1rem; padding: 0px; border: 0px; text-size-adjust: 100%; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; vertical-align: baseline;">Ali Winston contributed reporting. Susan Beachy, Kitty Bennett and Alain Delaquérière contributed research.</div></div></div><div style="">=</div><div style=""><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAEQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAB6BAgBEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.rollingstone.com/culture/culture-features/eyes-over-baltimore-how-police-use-military-technology-to-secretly-track-you-126885/" ping="/url?sa=t&source=web&rct=j&url=https://www.rollingstone.com/culture/culture-features/eyes-over-baltimore-how-police-use-military-technology-to-secretly-track-you-126885/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAAegQIARAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.rollingstone.com/culture/culture-features/eyes-over-baltimore-how-police-use-military-technology-to-secretly-track-you-126885/" ping="/url?sa=t&source=web&rct=j&url=https://www.rollingstone.com/culture/culture-features/eyes-over-baltimore-how-police-use-military-technology-to-secretly-track-you-126885/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAAegQIARAB" style="cursor: pointer; 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text-decoration-line: none;">How Baltimore Police Use Military Technology to Track You – Rolling ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.rollingstone.com/.../eyes-over-baltimore-how-police-use-military-technolog...</cite></div></div><div class="s" style="max-width: 48em; line-height: 1.54;">Jan 6, 2017 - The Baltimore Police Department has used surveillance technology such as ... phone tracking and facial recognition technology on Baltimore's citizens, ... has been a lot of attention to the militarization of police after Ferguson, ...</div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAAQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAF6BAgAEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html" ping="/url?sa=t&source=web&rct=j&url=https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjABegQIABAB" style="cursor: pointer; text-decoration-line: none;">Facial Recognition: Dawn of Dystopia, or Just the New Fingerprint ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.nytimes.com/2019/05/18/us/facial-recognition-police.html</cite></div></div><div class="s" style="max-width: 48em; line-height: 1.54;">May 18, 2019 - On Tuesday, San Francisco responded to widespread fears over privacy and misuse by banning the use of facial recognition by the police and ...<div class="TXwUJf" style="">Missing: <s>baltimore</s> ‎<s>ferguson</s></div></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAIQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAJ6BAgCEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html" ping="/url?sa=t&source=web&rct=j&url=https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjACegQIAhAB" style="cursor: pointer; text-decoration-line: none;">Bias in facial recognition technology needs to be fixed - Baltimore Sun</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.baltimoresun.com/.../bs-ed-bias-bias-facial-recognition-technology-2019...</cite></div><div class="action-menu ab_ctl" style="display: inline; position: relative; margin: 1px 3px 0px; user-select: none; vertical-align: middle;"><a class="GHDvEf ab_button" href="https://www.google.com/search?q=facial+recongnition+baltimore+ferguson&oq=facial+recongnition+baltimore+ferguson&aqs=chrome..69i57.11143j0j4&sourceid=chrome&ie=UTF-8#" id="am-b2" aria-label="Result Options" aria-expanded="false" aria-haspopup="true" role="button" jsaction="m.tdd;keydown:m.hbke;keypress:m.mskpe" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQ7B0wAnoECAIQAg" style="border-radius: 0px; cursor: default; font-weight: bold; height: 12px; line-height: 27px; margin: 1px 0px 2px; min-width: 0px; padding: 0px; text-align: center; 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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html+&cd=3&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html%2B%26cd%3D3%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDACegQIAhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html+&cd=3&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html%2B%26cd%3D3%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDACegQIAhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">May 24, 2019 - Rep. Elijah Cummings believes his face is probably in some police database somewhere. That’s because Baltimore officers used facial recognition technology to identify those who committed crimes during protests after the death of Freddie Gray while in police custody four years ago.</a><div class="TXwUJf" style=""><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html+&cd=3&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:nklVlh7vQKcJ:https://www.baltimoresun.com/opinion/editorial/bs-ed-bias-bias-facial-recognition-technology-20190524-story.html%2B%26cd%3D3%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDACegQIAhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Missing: <s>ferguson</s> ‎| Must include: </a><a class="fl" href="https://www.google.com/search?q=facial+recognition+baltimore+%22ferguson%22&sa=X&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQ5t4CMAJ6BAgCEAg" style="text-decoration-line: none; cursor: pointer;">ferguson</a></div></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAMQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAN6BAgDEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/" ping="/url?sa=t&source=web&rct=j&url=https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjADegQIAxAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/" ping="/url?sa=t&source=web&rct=j&url=https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjADegQIAxAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/" ping="/url?sa=t&source=web&rct=j&url=https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjADegQIAxAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/" ping="/url?sa=t&source=web&rct=j&url=https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjADegQIAxAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/" ping="/url?sa=t&source=web&rct=j&url=https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjADegQIAxAB" style="cursor: pointer; text-decoration-line: none;">ACLU: Police used Twitter, Facebook to track protests - USATODAY.com</a></h3>
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Police monitored and tracked protesters in Baltimore and Ferguson, ... in some cases running photos through a facial recognition system to ...</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAQQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAR6BAgEEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a class="fl" href="https://www.google.com/search?q=related:https://www.usatoday.com/story/tech/news/2016/10/11/aclu-police-used-twitter-facebook-data-track-protesters-baltimore-ferguson/91897034/+facial+recognition+baltimore+ferguson&tbo=1&sa=X&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQHzADegQIAxAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology" ping="/url?sa=t&source=web&rct=j&url=https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAEegQIBBAB" style="cursor: pointer; text-decoration-line: none;">Bipartisan thumbs-down to facial recognition technology - Roll Call</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:arkGo11jQ6oJ:https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology+&cd=5&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:arkGo11jQ6oJ:https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology%2B%26cd%3D5%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAEegQIBBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">May 29, 2019 - The use of facial recognition technology by the government violates the First and ... In 2016, police officers in Baltimore used new technology to scan the ... Andrew G. Ferguson, a law professor at the University of the District of ...</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAYQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAV6BAgGEAA" style=""><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:arkGo11jQ6oJ:https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology+&cd=5&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:arkGo11jQ6oJ:https://www.rollcall.com/news/policy/bipartisan-thumbs-down-to-facial-recognition-technology%2B%26cd%3D5%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAEegQIBBAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; 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text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api" ping="/url?sa=t&source=web&rct=j&url=https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAFegQIBhAB" style="cursor: pointer; text-decoration-line: none;">Facebook, Twitter, and Instagram surveillance tool was used to arrest ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.theverge.com/.../facebook-twitter-instagram-police-surveillance-geofeedi...</cite></div><div class="action-menu ab_ctl" style="display: inline; position: relative; margin: 1px 3px 0px; user-select: none; vertical-align: middle;"><a class="GHDvEf ab_button" href="https://www.google.com/search?q=facial+recongnition+baltimore+ferguson&oq=facial+recongnition+baltimore+ferguson&aqs=chrome..69i57.11143j0j4&sourceid=chrome&ie=UTF-8#" id="am-b5" aria-label="Result Options" aria-expanded="false" aria-haspopup="true" role="button" jsaction="m.tdd;keydown:m.hbke;keypress:m.mskpe" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQ7B0wBXoECAYQAg" style="border-radius: 0px; cursor: default; font-weight: bold; height: 12px; line-height: 27px; margin: 1px 0px 2px; min-width: 0px; padding: 0px; text-align: center; 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box-shadow: rgba(0, 0, 0, 0.2) 0px 2px 4px; left: 0px; visibility: hidden;"><ol style="margin: 0px; padding: 0px; border: 0px;"><li class="action-menu-item ab_dropdownitem" role="menuitem" style="margin: 0px; padding: 0px; border: 0px; list-style: none; user-select: none; cursor: pointer;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /></li></ol></div></div></div><div class="s" style="max-width: 48em; line-height: 1.54;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Oct 11, 2016 - Facebook, Twitter, and Instagram surveillance tool was used to arrest Baltimore ... in some cases running photos through a facial recognition systems to ... similar capabilities in a public demo compiled around the Ferguson ...</a></div><div data-base-uri="/search" id="ed_1" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQ2Z0BMAV6BAgGEAY" style=""><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;"></a><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><div data-hveid="CAUQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAZ6BAgFEAA"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api+&cd=6&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:8I_ndXpmR0QJ:https://www.theverge.com/2016/10/11/13243890/facebook-twitter-instagram-police-surveillance-geofeedia-api%2B%26cd%3D6%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAFegQIBhAE" style="text-decoration-line: none; 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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">[PDF]</a><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;" /><a href="https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/" ping="/url?sa=t&source=web&rct=j&url=https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAGegQIBRAC" style="cursor: pointer; text-decoration-line: none;">Law Enforcement Facial Recognition Is a Powerful Surveillance ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://constitutionproject.org/.../tcp-policing-reforms-committee-submits-statement-o...</cite></div><div class="action-menu ab_ctl" style="display: inline; position: relative; margin: 1px 3px 0px; user-select: none; vertical-align: middle;"><a class="GHDvEf ab_button" href="https://www.google.com/search?q=facial+recongnition+baltimore+ferguson&oq=facial+recongnition+baltimore+ferguson&aqs=chrome..69i57.11143j0j4&sourceid=chrome&ie=UTF-8#" id="am-b6" aria-label="Result Options" aria-expanded="false" aria-haspopup="true" role="button" jsaction="m.tdd;keydown:m.hbke;keypress:m.mskpe" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQ7B0wBnoECAUQAw" style="border-radius: 0px; cursor: default; font-weight: bold; height: 12px; line-height: 27px; margin: 1px 0px 2px; min-width: 0px; padding: 0px; text-align: center; 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box-shadow: rgba(0, 0, 0, 0.2) 0px 2px 4px; left: 0px; visibility: hidden;"><ol style="margin: 0px; padding: 0px; border: 0px;"><li class="action-menu-item ab_dropdownitem" role="menuitem" style="margin: 0px; padding: 0px; border: 0px; list-style: none; user-select: none; cursor: pointer;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/+&cd=7&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/%2B%26cd%3D7%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAGegQIBRAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /></li></ol></div></div></div><div class="s" style="max-width: 48em; line-height: 1.54;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/+&cd=7&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/%2B%26cd%3D7%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAGegQIBRAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/+&cd=7&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/%2B%26cd%3D7%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAGegQIBRAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/+&cd=7&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/%2B%26cd%3D7%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAGegQIBRAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Jan 17, 2017 - facial recognition network, and at least one in four police departments ... such as the “Persistent Surveillance” program in Baltimore, provides a new .... that Ferguson, Missouri had active, outstanding municipal arrest warrants ...</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAcQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAd6BAgHEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/+&cd=7&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:-LskqsQXWj4J:https://constitutionproject.org/documents/tcp-policing-reforms-committee-submits-statement-on-facial-recognition/%2B%26cd%3D7%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAGegQIBRAF" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a href="https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/" ping="/url?sa=t&source=web&rct=j&url=https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAHegQIBxAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/" ping="/url?sa=t&source=web&rct=j&url=https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAHegQIBxAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/" ping="/url?sa=t&source=web&rct=j&url=https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAHegQIBxAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/" ping="/url?sa=t&source=web&rct=j&url=https://theintercept.com/2017/03/22/real-time-face-recognition-threatens-to-turn-cops-body-cameras-into-surveillance-machines/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAHegQIBxAB" style="cursor: pointer; text-decoration-line: none;">Privacy Fears Over Cops Using Real-Time Face Recognition</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Mar 22, 2017 - Real-Time Face Recognition Threatens to Turn Cops' Body .... Lives Matter activists in Ferguson, Baltimore, Washington, D.C., and New York.</a></div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 26px; background-color: rgb(255, 255, 255);"><div data-hveid="CAgQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAh6BAgIEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><h3 class="LC20lb" style="font-weight: normal; margin: 0px; padding: 0px; display: inline-block; line-height: 1.33;"><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation" ping="/url?sa=t&source=web&rct=j&url=https://www.theguardian.com/us-news/2015/may/08/freddie-gray-death-baltimore-police-to-face-civil-rights-investigation&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAIegQICBAB" style="cursor: pointer; text-decoration-line: none;">Freddie Gray death: Baltimore police 'to face civil rights investigation ...</a></h3>
<div class="TbwUpd" style="display: inline-block; line-height: 1.54; padding-bottom: 1px; padding-top: 1px;"><cite class="iUh30" style="font-style: normal; padding-top: 1px; line-height: 1.43;">https://www.theguardian.com/.../freddie-gray-death-baltimore-police-to-face-civil-rights...</cite></div></div><div class="s" style="max-width: 48em; line-height: 1.54;">May 7, 2015 - Freddie Gray death: Baltimore police 'to face civil rights investigation' ... similar to ones undertaken in cities including Ferguson, Missouri, and ...</div></div></div></div><div class="g" style="line-height: 1.2; margin-top: 0px; margin-bottom: 28px; background-color: rgb(255, 255, 255);"><div data-hveid="CAkQAA" data-ved="2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFSgAMAl6BAgJEAA"><div class="rc" style="position: relative;"><div class="r" style="margin: 0px; line-height: 1.54;"><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; 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text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;" /><a href="https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/" ping="/url?sa=t&source=web&rct=j&url=https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQFjAJegQICRAB" style="cursor: pointer; text-decoration-line: none;">Facial recognition moratorium receives bipartisan support in Congress ...</a></h3>
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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">May 22, 2019 - The ACLU first made public the use of facial recognition software by Amazon ... law professor Andrew Ferguson said at today's committee meeting, ... at protests following the killing of Freddie Gray by police in Baltimore.</a></div></div></div></div></div><div style=""><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">==</a></div><div style=""><div class="l-article-topper l-article-topper--standard" data-topper-layout="standard" data-topper-type="standard" style="box-sizing: border-box; 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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; 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cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;" /><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Facebook Creates Software That Matches Faces Almost as Well as You Do</a></h1><h2 class="article-toppersubtitle" style="box-sizing: border-box; margin: 0px 0px 20px; padding: 0px 50px 0px 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; font-weight: 400; line-height: 1.4; max-width: 600px;"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">Facebook’s new AI research group reports a major improvement in face-processing software.

>Asked whether two unfamiliar photos of faces show the same person, a human being will get it right 97.53 percent of the time. New software developed by researchers at Facebook can score 97.25 percent on the same challenge, regardless of variations in lighting or whether the person in the picture is directly facing the camera.</a><p style="box-sizing: border-box; margin: -6px 0px 30px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.63; max-width: 600px; width: calc(100% - 320px);"><a class="fl" href="https://webcache.googleusercontent.com/search?q=cache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/+&cd=10&hl=en&ct=clnk&gl=us" ping="/url?sa=t&source=web&rct=j&url=https://webcache.googleusercontent.com/search%3Fq%3Dcache:s8aX4E0Rx2cJ:https://venturebeat.com/2019/05/22/facial-recognition-moratorium-receives-bipartisan-support-in-congress/%2B%26cd%3D10%26hl%3Den%26ct%3Dclnk%26gl%3Dus&ved=2ahUKEwjnsaWdhsLjAhVPK80KHQEpCjIQIDAJegQICRAE" style="text-decoration-line: none; cursor: pointer; display: block; padding: 7px 18px; outline: 0px;">That’s a significant advance over previous face-matching software, and it demonstrates the power of a new approach to artificial intelligence known as deep learning, which Facebook and its competitors have bet heavily on in the past year (see “</a><a href="http://www.technologyreview.com/featuredstory/513696/deep-learning/" style="box-sizing: border-box; text-decoration-line: none; margin: 0px; padding: 0px; vertical-align: baseline; background: transparent;">Deep Learning</a>”). This area of AI involves software that uses networks of simulated neurons to learn to recognize patterns in large amounts of data.<p style="box-sizing: border-box; margin: -6px 0px 30px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.63; max-width: 600px; width: calc(100% - 320px);">“You normally don’t see that sort of improvement,” says Yaniv Taigman, a member of Facebook’s AI team, a research group created last year to explore how deep learning might help the company (see “<a href="http://www.technologyreview.com/news/519411/facebook-launches-advanced-ai-effort-to-find-meaning-in-your-posts/" style="box-sizing: border-box; text-decoration-line: none; margin: 0px; padding: 0px; vertical-align: baseline; background: transparent;">Facebook Launches Advanced AI Effort</a>”). “We closely approach human performance,” says Taigman of the new software. He notes that the error rate has been reduced by more than a quarter relative to earlier software that can take on the same task.<figure class="l-article-img l-article-img--left-col" data-widget-type="imageset" data-widget-layout="left-col" style="box-sizing: border-box; margin: 0px 0px 30px; padding: 0px 0px 0px 20px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; clear: right; width: 288.656px; float: right;"><picture style="box-sizing: border-box; display: inline-block; width: 268.656px; position: relative; float: right;"><img class="article-img article-img--left-col" src="https://cdn.technologyreview.com/i/images/DeepFace3.jpg?sw=373" srcset="https://cdn.technologyreview.com/i/images/DeepFace3.jpg?sw=373 1x,https://cdn.technologyreview.com/i/images/DeepFace3.jpg?sw=746 2x" style="box-sizing: border-box; margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: middle; background: transparent; line-height: 0; display: block; width: 268.656px; max-width: 100%;" /></picture><figcaption class="article-cap article-cap--left-col" style="box-sizing: border-box; margin: 0px; padding: 10px 0px 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.4; width: 201.484px; float: left;">Head turn: DeepFace uses a 3-D model to rotate faces, virtually, so that they face the camera. Image (a) shows the original image, and (g) shows the final, corrected version.</figcaption></figure><p style="box-sizing: border-box; margin: -6px 0px 30px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.63; max-width: 600px; width: calc(100% - 320px);">Facebook’s new software, known as DeepFace, performs what researchers call facial verification (it recognizes that two images show the same face), not facial recognition (putting a name to a face). But some of the underlying techniques could be applied to that problem, says Taigman, and might therefore improve Facebook’s accuracy at suggesting whom users should tag in a newly uploaded photo.<p style="box-sizing: border-box; margin: -6px 0px 30px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.63; max-width: 600px; width: calc(100% - 320px);">However, DeepFace remains purely a research project for now. Facebook <a href="https://www.facebook.com/publications/546316888800776/" target="blank" style="box-sizing: border-box; text-decoration-line: none; margin: 0px; padding: 0px; vertical-align: baseline; background: transparent;">released a research paper</a> on the project last week, and the researchers will present the work at the <a href="http://www.pamitc.org/cvpr14/" target="blank" style="box-sizing: border-box; text-decoration-line: none; margin: 0px; padding: 0px; vertical-align: baseline; background: transparent;">IEEE Conference on Computer Vision and Pattern Recognition</a> in June. “We are publishing our results to get feedback from the research community,” says Taigman, who developed DeepFace along with Facebook colleagues Ming Yang and Marc’Aurelio Ranzato and Tel Aviv University professor Lior Wolf.<p style="box-sizing: border-box; margin: -6px 0px 30px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; background: transparent; line-height: 1.63; max-width: 600px; width: calc(100% - 320px);">DeepFace processes images of faces in two steps. First it corrects the angle of a face so that the person in the picture faces forward, using a 3-D model of an “average” forward-looking face. Then the deep learning comes in as a simulated neural network works out a numerical description of the reoriented face. If DeepFace comes up with similar enough descriptions from two different images, it decides they must show the same face....</h2></div></div><div style=""></div><div style=""><div>avigilon unusual motion</div><div>avigilon analytics setup</div><div>avigilon analytics demo</div><div>youtube avigilon fisheye</div><div>avigilon analytics appliance</div><div>avigilon self learning video analytics</div><div>avigilon video analytics</div><div>avigilon h4 fisheye</div></div><div style="">
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</div><div style="">Avigilon advanced video pattern-based algorithms recognize the movements and characteristics of people and vehicles, while ignoring any activity that isn’t relevant to a scene.Teach-by-example technology enables users to provide feedback about the accuracy of alarms to refine the device’s self-learning capabilities.</div><div style="">=</div><div style=""><a href="https://en.wikipedia.org/wiki/Facial_recognition_system">https://en.wikipedia.org/wiki/Facial_recognition_system</a></div><div style="">
</div><div style="">A face recognition system is a <a href="https://en.wikipedia.org/wiki/Application_software" title="Application software" style="text-decoration-line: none; background: none;">computer application</a> capable of <a href="https://en.wikipedia.org/wiki/Identification_of_human_individuals" class="mw-redirect" title="Identification of human individuals" style="text-decoration-line: none; background: none;">identifying</a>or <a href="https://en.wikipedia.org/wiki/Authentication" title="Authentication" style="text-decoration-line: none; background: none;">verifying</a> a person from a <a href="https://en.wikipedia.org/wiki/Digital_image" title="Digital image" style="text-decoration-line: none; background: none;">digital image</a> or a <a href="https://en.wikipedia.org/wiki/Film_frame" title="Film frame" style="text-decoration-line: none; background: none;">video frame</a> from a <a href="https://en.wikipedia.org/wiki/Video" title="Video" style="text-decoration-line: none; background: none;">video</a>source. One of the ways to do this is by comparing selected <a href="https://en.wikipedia.org/wiki/Face" title="Face" style="text-decoration-line: none; background: none;">facial features</a>from the image and a face <a href="https://en.wikipedia.org/wiki/Database_management_system" class="mw-redirect" title="Database management system" style="text-decoration-line: none; background: none;">database</a>.It is typically used in <a href="https://en.wikipedia.org/wiki/Burglar_alarm" class="mw-redirect" title="Burglar alarm" style="text-decoration-line: none; background: none;">security systems</a> and can be compared to other <a href="https://en.wikipedia.org/wiki/Biometrics" title="Biometrics" style="text-decoration-line: none; background: none;">biometrics</a> such as <a href="https://en.wikipedia.org/wiki/Fingerprint" title="Fingerprint" style="text-decoration-line: none; background: none;">fingerprint</a> or eye <a href="https://en.wikipedia.org/wiki/Iris_recognition" title="Iris recognition" style="text-decoration-line: none; background: none;">iris recognition</a> systems.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-Animetrics-1" style="text-decoration-line: none; background: none;">[1]</a> Recently, it has also become popular as a commercial identification and marketing tool.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-2" style="text-decoration-line: none; background: none;">[2]</a><div id="toc" class="toc" style="border: 1px solid rgb(162, 169, 177); background-color: rgb(248, 249, 250); padding: 7px; display: table; zoom: 1;"><div class="toctitle" style="text-align: left; direction: ltr;"><h2 style="background: none; margin: 1em 0px 0.25em; overflow: hidden; padding: 0px; border: 0px; display: inline; line-height: 1.3;">Contents</h2>  [<a role="button" tabindex="0" class="togglelink" style="background: none; cursor: pointer;">hide</a>] </div><ul style="list-style-type: none; margin: 0.3em 0px; padding: 0px; list-style-image: none;"><li class="toclevel-1 tocsection-1" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Techniques_for_face_acquisition" style="text-decoration-line: none; background: none;">1Techniques for face acquisition</a><ul style="list-style-type: none; margin: 0px 0px 0px 2em; padding: 0px; list-style-image: none;"><li class="toclevel-2 tocsection-2" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Traditional" style="text-decoration-line: none; background: none;">1.1Traditional</a></li><li class="toclevel-2 tocsection-3" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#3-dimensional_recognition" style="text-decoration-line: none; background: none;">1.23-dimensional recognition</a></li><li class="toclevel-2 tocsection-4" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Skin_texture_analysis" style="text-decoration-line: none; background: none;">1.3Skin texture analysis</a></li><li class="toclevel-2 tocsection-5" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Thermal_cameras" style="text-decoration-line: none; background: none;">1.4Thermal cameras</a></li></ul></li><li class="toclevel-1 tocsection-6" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Notable_users_and_deployments" style="text-decoration-line: none; background: none;">2Notable users and deployments</a><ul style="list-style-type: none; margin: 0px 0px 0px 2em; padding: 0px; list-style-image: none;"><li class="toclevel-2 tocsection-7" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Additional_uses" style="text-decoration-line: none; background: none;">2.1Additional uses</a></li></ul></li><li class="toclevel-1 tocsection-8" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Advantages_and_disadvantages" style="text-decoration-line: none; background: none;">3Advantages and disadvantages</a><ul style="list-style-type: none; margin: 0px 0px 0px 2em; padding: 0px; list-style-image: none;"><li class="toclevel-2 tocsection-9" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Compared_to_other_technologies" style="text-decoration-line: none; background: none;">3.1Compared to other technologies</a></li><li class="toclevel-2 tocsection-10" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Weaknesses" style="text-decoration-line: none; background: none;">3.2Weaknesses</a></li><li class="toclevel-2 tocsection-11" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Effectiveness" style="text-decoration-line: none; background: none;">3.3Effectiveness</a></li><li class="toclevel-2 tocsection-12" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Privacy_issues" style="text-decoration-line: none; background: none;">3.4Privacy issues</a></li></ul></li><li class="toclevel-1 tocsection-13" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#History" style="text-decoration-line: none; background: none;">4History</a></li><li class="toclevel-1 tocsection-14" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Emotion_detection" style="text-decoration-line: none; background: none;">5Emotion detection</a></li><li class="toclevel-1 tocsection-15" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Anti_facial_recognition_systems" style="text-decoration-line: none; background: none;">6Anti facial recognition systems</a></li><li class="toclevel-1 tocsection-16" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#See_also" style="text-decoration-line: none; background: none;">7See also</a></li><li class="toclevel-1 tocsection-17" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#References" style="text-decoration-line: none; background: none;">8References</a></li><li class="toclevel-1 tocsection-18" style="margin-bottom: 0.1em;"><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#Further_reading" style="text-decoration-line: none; background: none;">9Further reading</a></li><li class="toclevel-1 tocsection-19" style="margin-bottom: 0.1em;">10External links</li></ul></div></div><div style="">...</div><div style="">can do scars? texture</div><div style="">...</div><h2 style="background: none rgb(255, 255, 255); font-weight: normal; margin: 1em 0px 0.25em; overflow: hidden; padding: 0px; border-bottom: 1px solid rgb(162, 169, 177); line-height: 1.3;">Notable users and deployments[<a href="https://en.wikipedia.org/w/index.php?title=Facial_recognition_system&action=edit&section=6" title="Edit section: Notable users and deployments" style="text-decoration-line: none; background: none;">edit</a>]</h2>The Australian people and New Zealand Customs Services have an automated border processing system called <a href="https://en.wikipedia.org/wiki/SmartGate" title="SmartGate" style="text-decoration-line: none; background: none;">SmartGate</a> that uses face recognition. The system compares the face of the individual with the image in the <a href="https://en.wikipedia.org/wiki/Biometric_passport" title="Biometric passport" style="text-decoration-line: none; background: none;">e-passport</a> microchip to verify that the holder of the <a href="https://en.wikipedia.org/wiki/Passport" title="Passport" style="text-decoration-line: none; background: none;">passport</a> is the rightful owner.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-13" style="text-decoration-line: none; background: none;">[13]</a>Law enforcement agencies in the United States, including the Los Angeles County Sheriff, use arrest <a href="https://en.wikipedia.org/wiki/Mugshot" class="mw-redirect" title="Mugshot" style="text-decoration-line: none; background: none;">mugshot</a>databases in their forensic investigative work. Law enforcement has been rapidly building a database of photos in recent years.The <a href="https://en.wikipedia.org/wiki/U.S.Department_of_State" class="mw-redirect" title="U.S. Department of State" style="text-decoration-line: none; background: none;">U.S. Department of State</a> operates one of the largest face recognition systems in the world with 117 million American adults including mostly law abiding citizens in its database. The photos are typically drawn from driver's license photos.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-14" style="text-decoration-line: none; background: none;">[14]</a> Although it is still far from completion, it is being put to use in certain cities to give clues as to who was in the photo. The FBI uses the photos as an investigative lead not for positive identification.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-phys.org-15" style="text-decoration-line: none; background: none;">[15]</a>In recent years Maryland has used face recognition by comparing people's faces to their driver's license photos. The system drew controversy when it was used in Baltimore to arrest unruly protesters after the <a href="https://en.wikipedia.org/wiki/Death_of_Freddie_Gray" title="Death of Freddie Gray" style="text-decoration-line: none; background: none;">death of Freddie Gray</a> in police custody.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-16" style="text-decoration-line: none; background: none;">[16]</a> Many other states are using or developing a similar system however some states have laws prohibiting its use.The <a href="https://en.wikipedia.org/wiki/Federal_Bureau_of_Investigation" title="Federal Bureau of Investigation" style="text-decoration-line: none; background: none;">FBI</a> has also instituted its <a href="https://en.wikipedia.org/wiki/Next_Generation_Identification" title="Next Generation Identification" style="text-decoration-line: none; background: none;">Next Generation Identification</a> program to include face recognition, as well as more traditional biometrics like fingerprints and iris scans, which can pull from both criminal and civil databases.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-17" style="text-decoration-line: none; background: none;">[17]</a>The <a href="https://en.wikipedia.org/wiki/Tocumen_International_Airport" title="Tocumen International Airport" style="text-decoration-line: none; background: none;">Tocumen International Airport</a> in Panama operates an airport-wide surveillance system using hundreds of live face recognition cameras to identify wanted individuals passing through the airport.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-18" style="text-decoration-line: none; background: none;">[18]</a>Major Canadian airports will be using a new facial recognition program as part of the Primary Inspection Kiosk program that will compare people's faces to their passports. This program will first come to <a href="https://en.wikipedia.org/wiki/Ottawa_International_Airport" class="mw-redirect" title="Ottawa International Airport" style="text-decoration-line: none; background: none;">Ottawa International Airport</a> in early 2017 and to other airports in 2018.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-19" style="text-decoration-line: none; background: none;">[19]</a>In 2017, Time & Attendance company ClockedIn released facial recognition as a form of attendance tracking for businesses and organisations looking to have a more automated system of keeping track of hours worked as well as for security and health & safety control.[<a href="https://en.wikipedia.org/wiki/Wikipedia:Citation_needed" title="Wikipedia:Citation needed" style="text-decoration-line: none; background: none;">citation needed</a>]In May 2017, A man was arrested using an Automatic Facial Recognition (AFR) system mounted on a van operated by the South Wales Police. <a href="https://en.wikipedia.org/wiki/Ars_Technica" title="Ars Technica" style="text-decoration-line: none; background: none;">Ars Technica</a> reported that "this appears to be the first time it[AFR] has led to an arrest".<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-20" style="text-decoration-line: none; background: none;">[20]</a><div class="thumb tright" style="clear: right; float: right; margin: 0.5em 0px 1.3em 1.4em; width: auto; background-color: rgb(255, 255, 255);"><div class="thumbinner" style="min-width: 100px; border: 1px solid rgb(200, 204, 209); padding: 3px; background-color: rgb(248, 249, 250); text-align: center; overflow: hidden; width: 222px;"><div style="text-align: left;"><a href="https://en.wikipedia.org/wiki/File:Police_CCTV_Van,Comer_Crescent-geograph.org.uk-1263396.jpg" class="image" style="text-decoration-line: none; background: none;"><img alt="" src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/92/Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg/220px-Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg" width="220" height="165" class="thumbimage" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/9/92/Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg/330px-Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/9/92/Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg/440px-Police_CCTV_Van%2C_Comer_Crescent-geograph.org.uk-1263396.jpg 2x" data-file-width="640" data-file-height="480" style="border: 1px solid rgb(200, 204, 209); vertical-align: middle; background-color: rgb(255, 255, 255);" /></a></div><div class="thumbcaption" style="border: 0px; line-height: 1.4em; padding: 3px; text-align: left;"><div class="magnify" style="float: right; margin-left: 3px; margin-right: 0px;"><a href="https://en.wikipedia.org/wiki/File:Police_CCTV_Van,Comer_Crescent-geograph.org.uk-1263396.jpg" class="internal" title="Enlarge" style="text-decoration-line: none; background: linear-gradient(transparent, transparent), url(" data:image="data:image" svg="svg" xml="xml" c="C" fxml="Fxml" version="version" d="D" encoding="encoding" utf-8="UTF-8" standalone="standalone" no="no" f="F" e="E" a="A" csvg="Csvg" http="http" fwww.w3.org="Fwww.w3.org" f2000="F2000" fsvg="Fsvg" viewbox="viewBox" width="width" height="height" cg="Cg" id="id" magnify-clip="magnify-clip" fill="fill" fff="fff" stroke="stroke" cpath="Cpath" bigbox="bigbox" m1.509="M1.509" h10.99v7.919h-10.99z="h10.99v7.919h-10.99z" smallbox="smallbox" m-1.499="M-1.499" h5.943v4.904h-5.943z="h5.943v4.904h-5.943z" fg="Fg" display="display" block="block" text-indent="text-indent" px="px" white-space="white-space" nowrap="nowrap" overflow="overflow" hidden="hidden" user-select="user-select" none="none" xmlns="xmlns" xmlns:data="data" /></div><a href="https://en.wikipedia.org/wiki/File:Police_CCTV_Van,Comer_Crescent-geograph.org.uk-1263396.jpg" class="internal" title="Enlarge" style="text-decoration-line: none; background: linear-gradient(transparent, transparent), url(" data:image="data:image" svg="svg" xml="xml" c="C" fxml="Fxml" version="version" d="D" encoding="encoding" utf-8="UTF-8" standalone="standalone" no="no" f="F" e="E" a="A" csvg="Csvg" http="http" fwww.w3.org="Fwww.w3.org" f2000="F2000" fsvg="Fsvg" viewbox="viewBox" width="width" height="height" cg="Cg" id="id" magnify-clip="magnify-clip" fill="fill" fff="fff" stroke="stroke" cpath="Cpath" bigbox="bigbox" m1.509="M1.509" h10.99v7.919h-10.99z="h10.99v7.919h-10.99z" smallbox="smallbox" m-1.499="M-1.499" h5.943v4.904h-5.943z="h5.943v4.904h-5.943z" fg="Fg" display="display" block="block" text-indent="text-indent" px="px" white-space="white-space" nowrap="nowrap" overflow="overflow" hidden="hidden" user-select="user-select" none="none" xmlns="xmlns" xmlns:data="data">Automatic Facial Recognition systems resemble other mobile CCTV systems</a></div></div></div><h3 style="background: none rgb(255, 255, 255); margin: 0.3em 0px 0px; overflow: hidden; padding-top: 0.5em; padding-bottom: 0px; border-bottom: 0px; line-height: 1.6;"><a href="https://en.wikipedia.org/wiki/File:Police_CCTV_Van,Comer_Crescent-geograph.org.uk-1263396.jpg" class="internal" title="Enlarge" style="text-decoration-line: none; background: linear-gradient(transparent, transparent), url(" data:image="data:image" svg="svg" xml="xml" c="C" fxml="Fxml" version="version" d="D" encoding="encoding" utf-8="UTF-8" standalone="standalone" no="no" f="F" e="E" a="A" csvg="Csvg" http="http" fwww.w3.org="Fwww.w3.org" f2000="F2000" fsvg="Fsvg" viewbox="viewBox" width="width" height="height" cg="Cg" id="id" magnify-clip="magnify-clip" fill="fill" fff="fff" stroke="stroke" cpath="Cpath" bigbox="bigbox" m1.509="M1.509" h10.99v7.919h-10.99z="h10.99v7.919h-10.99z" smallbox="smallbox" m-1.499="M-1.499" h5.943v4.904h-5.943z="h5.943v4.904h-5.943z" fg="Fg" display="display" block="block" text-indent="text-indent" px="px" white-space="white-space" nowrap="nowrap" overflow="overflow" hidden="hidden" user-select="user-select" none="none" xmlns="xmlns" xmlns:data="data">Additional uses[</a><a href="https://en.wikipedia.org/w/index.php?title=Facial_recognition_system&action=edit&section=7" title="Edit section: Additional uses" style="text-decoration-line: none; background: none;">edit</a>]</h3>In addition to being used for security systems, authorities have found a number of other applications for face recognition systems. While earlier post-<a href="https://en.wikipedia.org/wiki/September_11_attacks" title="September 11 attacks" style="text-decoration-line: none; background: none;">9/11</a> deployments were well publicized trials, more recent deployments are rarely written about due to their covert nature.[<a href="https://en.wikipedia.org/wiki/Wikipedia:Citation_needed" title="Wikipedia:Citation needed" style="text-decoration-line: none; background: none;">citation needed</a>]At <a href="https://en.wikipedia.org/wiki/Super_Bowl_XXXV" title="Super Bowl XXXV" style="background-image: none; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none;">Super Bowl XXXV</a> in January 2001, police in <a href="https://en.wikipedia.org/wiki/Tampa_Bay,Florida" class="mw-redirect" title="Tampa Bay, Florida" style="background-image: none; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; text-decoration-line: none;">Tampa Bay, Florida</a> used Viisage face recognition software to search for potential criminals and terrorists in attendance at the event. 19 people with minor criminal records were potentially identified.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-21" style="text-decoration-line: none; background: none;">[21]</a><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-Krause-22" style="text-decoration-line: none; background: none;">[22]</a>In the 2000 presidential election, the Mexican government employed face recognition software to prevent voter fraud. Some individuals had been registering to vote under several different names, in an attempt to place multiple votes. By comparing new face images to those already in the voter database, authorities were able to reduce duplicate registrations.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-23" style="text-decoration-line: none; background: none;">[23]</a> Similar technologies are being used in the United States to prevent people from obtaining fake identification cards and driver’s licenses.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-24" style="text-decoration-line: none; background: none;">[24]</a><a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-25" style="text-decoration-line: none; background: none;">[25]</a>There are also a number of potential uses for face recognition that are currently being developed. For example, the technology could be used as a security measure at ATMs. Instead of using a bank card or <a href="https://en.wikipedia.org/wiki/Personal_identification_number" title="Personal identification number" style="text-decoration-line: none; background: none;">personal identification number</a>, the ATM would capture an image of the customer's face, and compare it to the account holder's photo in the bank database to confirm the customer's identity.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-Bonsor-4" style="text-decoration-line: none; background: none;">[4]</a>Face recognition systems are used to unlock software on mobile devices. An independently developed <a href="https://en.wikipedia.org/wiki/Android_Marketplace" class="mw-redirect" title="Android Marketplace" style="text-decoration-line: none; background: none;">Android Marketplace</a> app called Visidon Applock makes use of the phone's built-in camera to take a picture of the user. Face recognition is used to ensure only this person can use certain apps which they choose to secure.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-26" style="text-decoration-line: none; background: none;">[26]</a>Face detection and face recognition are integrated into the <a href="https://en.wikipedia.org/wiki/IPhoto" title="IPhoto" style="text-decoration-line: none; background: none;">iPhoto</a> application for Macintosh, to help users organize and caption their collections.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-27" style="text-decoration-line: none; background: none;">[27]</a>Because of certain limitations[<a href="https://en.wikipedia.org/wiki/Wikipedia:Please_clarify" title="Wikipedia:Please clarify" style="text-decoration-line: none; background: none;">clarification needed</a>] of <a href="https://en.wikipedia.org/wiki/Fingerprint_recognition" class="mw-redirect" title="Fingerprint recognition" style="text-decoration-line: none; background: none;">fingerprint recognition</a> systems, face recognition systems could be used as an alternative way to confirm employee attendance at work for the claimed hours.Another use could be a portable device to assist people with <a href="https://en.wikipedia.org/wiki/Prosopagnosia" title="Prosopagnosia" style="text-decoration-line: none; background: none;">prosopagnosia</a> in recognizing their acquaintances.In September 2017, Apple Inc launched it's new flagship device iPhone X with facial recognition using it for locking the device.<a href="https://en.wikipedia.org/wiki/Facial_recognition_system#cite_note-28" style="text-decoration-line: none; background: none;">[28]</a><div style="">
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</div><div style="">.... “Apple is the NSA of AI.” But AI’s Brahmins figured that if Apple’s efforts were as significant as Google’s or Facebook’s, they would have heard that.</div><p data-reactid="291" style="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-stretch: inherit; line-height: inherit;" exchange="Exchange" ssm="SSm" r="r" exchangeweb-roman="ExchangeWeb-Roman" georgia="Georgia" serif="serif" font-size="font-size" px="px" margin="margin" padding="padding" vertical-align="vertical-align" baseline="baseline" overflow-wrap="overflow-wrap" break-word="break-word" word-break="word-break" normal="normal" word-wrap="word-wrap" background-color="background-color" rgb="rgb">“In Google, Facebook, Microsoft you have the top people in machine learning,” says Oren Etzioni of the Allen Institute for AI. “Yes, Apple has hired some people. But who are the five leaders of machine learning who work for Apple? Apple does have speech recognition, but it isn’t clear where else [machine learning] helps them. Show me in your product where machine learning is being used!<p data-reactid="291" style="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-stretch: inherit; line-height: inherit;" exchange="Exchange" ssm="SSm" r="r" exchangeweb-roman="ExchangeWeb-Roman" georgia="Georgia" serif="serif" font-size="font-size" px="px" margin="margin" padding="padding" vertical-align="vertical-align" baseline="baseline" overflow-wrap="overflow-wrap" break-word="break-word" word-break="word-break" normal="normal" word-wrap="word-wrap" background-color="background-color" rgb="rgb">,,,<div style="">
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