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Coded Bias

  • 2020
  • TV-MA
  • 1h 26m
IMDb RATING
6.8/10
2.9K
YOUR RATING
Shalini Kantayya in Coded Bias (2020)
An exploration of the fallout of MIT Media Lab researcher Joy Buolamwini's startling discovery of racial bias in facial recognition algorithms.
Play trailer2:28
1 Video
2 Photos
Documentary

When MIT Media Lab researcher Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she embarks on a journey to push for the first-ever U.S. legislatio... Read allWhen MIT Media Lab researcher Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she embarks on a journey to push for the first-ever U.S. legislation against bias in algorithms that impact us all.When MIT Media Lab researcher Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she embarks on a journey to push for the first-ever U.S. legislation against bias in algorithms that impact us all.

  • Director
    • Shalini Kantayya
  • Writers
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Stars
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • See production info at IMDbPro
  • IMDb RATING
    6.8/10
    2.9K
    YOUR RATING
    • Director
      • Shalini Kantayya
    • Writers
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Stars
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50User reviews
    • 34Critic reviews
    • 73Metascore
  • See production info at IMDbPro
    • Awards
      • 3 wins & 6 nominations total

    Videos1

    Official Trailer
    Trailer 2:28
    Official Trailer

    Photos1

    View Poster

    Top cast67

    Edit
    Joy Buolamwini
    Joy Buolamwini
    • Self - Ph.D. Candidate, MIT Media Lab
    Meredith Broussard
    Meredith Broussard
    • Self - Author, Artificial Unintelligence
    Cathy O'Neil
    Cathy O'Neil
    • Self - Author, Weapons of Math Destruction
    • (as Cathy O'Neil Ph.D.)
    Silkie Carlo
    Silkie Carlo
    • Self - Director, Big Brother Watch UK
    Zeynep Tüfekçi
    Zeynep Tüfekçi
    • Self - Author, Twitter and Tear Gas
    • (as Zeynep Tufekci Ph.D.)
    Amy Webb
    Amy Webb
    • Self - Futurist…
    Tranae Moran
    Tranae Moran
    • Self - Brooklyn Tenant
    Virginia Eubanks
    Virginia Eubanks
    • Self - Author, Automating Inequality
    • (as Virginia Eubanks Ph.D.)
    Icemae Downes
    Icemae Downes
    • Self - Brooklyn Tenant
    Ravi Naik
    Ravi Naik
    • Self - UK Human Rights Lawyer
    Deborah Raji
    Deborah Raji
    • Self - Research Fellow, Partnership on A.I.
    Timnit Gebru
    Timnit Gebru
    • Self - Technical Co-Lead, Ethical A.I. Team at Google
    • (as Timnit Gebru Ph.D.)
    Safiya Umoja Noble
    Safiya Umoja Noble
    • Self - Author, Algorithms of Oppression
    • (as Safiya Umoja Noble Ph.D.)
    Wolfie O'Neil
    Wolfie O'Neil
    • Self - Cathy's Son
    Kiri Soares
    Kiri Soares
    • Self - School Principal
    Daniel Santos
    Daniel Santos
    • Self - Middle School Teacher
    LaTonya Myers
    LaTonya Myers
    • Self - Criminal Justice Activist
    Mark Houldin
    Mark Houldin
    • Self - Lawyer
    • Director
      • Shalini Kantayya
    • Writers
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • All cast & crew
    • Production, box office & more at IMDbPro

    User reviews50

    6.82.8K
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    Featured reviews

    6deabigt

    Misses the main point

    And the main point is that increasing what would have been called beta code even 10 years ago is being pushed out as production ready. As she pointed out with IBM once she pointed out the issue to IBM with their face recognition AI they added examples to their training set and increased accuracy across the board. But that indicates it was not properly tested in the first place. That argues for a more inclusive IT staff and better QA. So that shows their first argument against some merit but could be fixed without much difficulty. So the solution ought to be to fix not ban.

    The second argument of what if our government becomes like China is flawed as well. The face recognition AIs are going going to get better even if we do not work on them here someone will. Anything useful can also be used as a weapon. So if the government does want to use face recognition they will just get it. Probably better to have a known working system than one bought hasily and rushed into place.

    It is odd to they barely mention any AI or ML outside of face recognition despite face recognition being a small part of what is out there.

    All in all might be good to get you to started on research of your own but mostly misdirected furry.
    skweile

    Fantastic

    Only flaw is that it didn't come out earlier than 2020. It's a must-watch if you have a brain in your skull, ignore all the babynazis flooding the reviews with their abominable screeching.
    8schaeh

    Educational despite what the whiney 1 star reviewers say

    This was a good documentary making points we should all keep in mind.
    5MeadtheMan

    Powerful Messages. Poor Execution.

    The general messages conveyed are powerful, and there's no denying that we urgently need to regulate a technology that has encroached into every facet of our lives - it's like letting people drive without introducing any traffic laws.

    The execution of this documentary, however, is very underwhelming, to say the least. There are the usuals: catchy montages, TED-style interviews, news soundbites, and the most annoying of all - artificially created (pun intended) graphics of AI scanning data in a stereotypical digital font paired with silly sound effects which, unless the primary audience of this documentary is fifth graders, I don't understand why it's necessary to incessantly rehash them. And then there's the unimaginative 'robotic voice.' It's just puerile.

    Maybe the producers are wary that people still won't get the danger of unregulated AI without these gimmicks. But I'd argue that people would be more alarmed to learn how AI has been infiltrating and affecting our lives in the least expected ways. If the documentary can clearly point out the potential harms as a consequence, I think people will naturally find the lack of regulation disturbing, no silly visuals and sound effects are needed. Sometimes I think they actually undermine the severity of potential danger at hand. For example, the scene where a teenager is mistakenly stopped by plainclothes police, instead of being accompanied with yet another piece of cheesy soundtrack meant to suggest danger, it would be so much more powerful if everything is just eerily silent.

    And the interviews and info - yes, AI is like a black box even to the programmers, but can you explain it in layman's terms so that people get it? - could be a lot more insightful. Even some short Vox-style Youtube clips have explored these issues in greater depth.

    The themes explored are a bit all over the place too. I get it this domain is relatively new, so the vocabulary and focus aren't that streamlined yet, still... Sometimes the documentary brings up issues of obvious biases, which is consistent with the title, but sometimes we don't even know what the problem is, it's simply an issue of things being completely nontransparent and/or unverified by a third party. The China parts are also a little disjointed from the rest of the documentary and the country itself is painted in broad strokes - it's as if we can't do good until we can identify the bad guy to feel good about ourselves.
    random-70778

    Does it matter that the assertions in this documentary have been debunked?

    Does it matter to any of the reviewers here that the claims made in this documentary have been debunked?

    Fact: The darker ones complexation is the LESS likely that there is usable video or photos for investigators or prosecutors.

    The makers of this film claim the opposite is the case, they claim there is a bias against persons with darker complexions -- when in fact that is not at all what the peer reviewed research shows.

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    Storyline

    Edit

    Did you know

    Edit
    • Quotes

      Self - Author, Weapons of Math Destruction: On internet advertising as data scientists, we are competing for eyeballs on one hand, but really we're competing for eyeballs of rich people. And then, the poor people, who's competing for their eyeballs? Predatory industries. So payday lenders, or for-profit colleges, or Caesars Palace. Like, really predatory crap.

    • Connections
      Featured in Jeremy Vine: Episode #4.95 (2021)

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    FAQ17

    • How long is Coded Bias?Powered by Alexa

    Details

    Edit
    • Release date
      • November 11, 2020 (United States)
    • Countries of origin
      • United States
      • China
      • United Kingdom
    • Official sites
      • Facebook
      • Instagram
    • Language
      • English
    • Also known as
      • Kodlanmış Önyargı
    • Filming locations
      • Brooklyn, New York City, New York, USA
    • Production companies
      • 7th Empire Media
      • Chicken And Egg Pictures
      • Ford Foundation - Just Films
    • See more company credits at IMDbPro

    Box office

    Edit
    • Gross US & Canada
      • $10,236
    • Opening weekend US & Canada
      • $10,236
      • Nov 15, 2020
    • Gross worldwide
      • $10,236
    See detailed box office info on IMDbPro

    Tech specs

    Edit
    • Runtime
      1 hour 26 minutes
    • Color
      • Color

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