Discussion

• @drewharwell Drew Harwell on x

  New: Huge federal review of facial-recognition systems finds that white people get more accurate searches than everyone else. With some algorithms, Asian and African American people were *up to 100 times* more likely to be falsely identified than white men https://wapo.st/2tCGkuN

• @abbydphillip Abby D. Phillip on x

  This will surprise no black people https://twitter.com/...

• @emilygorcenski Emily G on x

  There are two sides to this: - we should not be developing better, more accurate facial recognition to surveil minorities - facial recognition in China works incredibly accurately compared to American tech, so the racism is just really, really obvious here https://twitter.com/...

• @macvie Lori McGlinchey on x

  “The agency did not test systems from Amazon, Apple, Facebook and Google because they did not submit their algorithms for the federal study” https://www.nytimes.com/... via @NYTimes

• @drewharwell Drew Harwell on x

  @jovialjoy @timnitGebru @rajiinio @ClareAngelyn @JayCStanley .@BennieGThompson: The report “shows facial recognition systems are even more unreliable and racially biased than we feared. ... The Administration must reassess its plans for facial recognition technology in light of t…

• @nytimesbusiness @nytimesbusiness on x

  Facial-recognition technology also had more difficulty identifying women than men. And it falsely identified older adults up to 10 times more than middle-aged adults. https://www.nytimes.com/...

• @aclu @aclu on x

  One false match can lead to missed flights, long interrogations, tense police encounters, false arrests, or worse. Even government scientists are now confirming this surveillance technology is flawed and biased. https://twitter.com/...

• @emilyrauhala Emily Rauhala on x

  As with much of the facial recognition stuff, the problem is not “wow these products are so cutting edge,” it's “wow, these products are remarkably bad.” https://twitter.com/...

• @schock Sasha Costanza-Chock on x

  Oh who ever would have thought that face recognition systems have been trained to be technically racist and sexist, which compounds the sexist, racist ways they are deployed? https://www.washingtonpost.com/ ...

• @dataeditor Steven Rich on x

  i think every day about the really stupid tweet i saw a while back about how algorithms cannot be racist because they're math https://twitter.com/...

• @victorerikray Victor Ray on x

  It's almost like race is a pervasive structure that is built into the architecture of the social world. https://twitter.com/...

• @lesarchivistes Neil Tamzali on x

  So Asian and African American people are better protected than white people from fascist government surveilance? https://twitter.com/...

• @allie_elisabeth Allie Gross on x

  Detroit - a majority black city - purchased facial recognition tech in 2017 for over $1M. After using the tech more than 600x DPD, this fall, couldn't tell us how many arrests it's led to. https://www.wxyz.com/... https://twitter.com/...

• @wsisaac William Isaac on x

  This NIST pretty much confirms all the pioneering work done by @jovialjoy @timnitGebru and @rajiinio wrt bias in facial rec. At this point, it would be v diffult to see how vendors could make the case for any LE applications. https://twitter.com/...

• @blmohr @blmohr on x

  “Asian & African American ppl were up to 100 times more likely to be misidentified than white men, depending on the particular algorithm and type of search. Native Americans had the highest false-positive rate of all ethnicities, according to the study.” https://www.washingtonpos…

• @shannonvallor Shannon Vallor on x

  No surprise here but if we care to preserve any justice in our institutions, this is further warrant for a hard chill on govt and security use of these systems. https://twitter.com/...

• @agidari Albert Gidari on x

  1) NIST has a new evaluation of Facial Recognition software out. Not surprising, the software keeps getting better and more accurate but demographics matter. https://www.nist.gov/...

• @profferguson Andrew G. Ferguson on x

  “The majority of face recognition algorithms exhibit demographic differentials. A differential means that an algorithm's ability to match two images of the same person varies from one demographic group to another.” So, maybe not for policing.... https://www.nist.gov/...