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Coded Bias

  • 2020
  • Not Rated
  • 1 Std. 26 Min.
IMDb-BEWERTUNG
6,8/10
2886
IHRE BEWERTUNG
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.
trailer wiedergeben2:28
1 Video
2 Fotos
Dokumentarfilm

Als Joy Buolamwini entdeckt, dass die Gesichtserkennung dunkelhäutige Gesichter nicht richtig erkennt, begibt sie sich auf eine Reise, um die allererste US-Gesetzgebung gegen Voreingenommenh... Alles lesenAls Joy Buolamwini entdeckt, dass die Gesichtserkennung dunkelhäutige Gesichter nicht richtig erkennt, begibt sie sich auf eine Reise, um die allererste US-Gesetzgebung gegen Voreingenommenheit in Algorithmen zu fordern.Als Joy Buolamwini entdeckt, dass die Gesichtserkennung dunkelhäutige Gesichter nicht richtig erkennt, begibt sie sich auf eine Reise, um die allererste US-Gesetzgebung gegen Voreingenommenheit in Algorithmen zu fordern.

  • Regie
    • Shalini Kantayya
  • Drehbuch
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Hauptbesetzung
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • Siehe Produktionsinformationen bei IMDbPro
  • IMDb-BEWERTUNG
    6,8/10
    2886
    IHRE BEWERTUNG
    • Regie
      • Shalini Kantayya
    • Drehbuch
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Hauptbesetzung
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50Benutzerrezensionen
    • 34Kritische Rezensionen
    • 73Metascore
  • Siehe Produktionsinformationen bei IMDbPro
    • Auszeichnungen
      • 3 Gewinne & 6 Nominierungen insgesamt

    Videos1

    Official Trailer
    Trailer 2:28
    Official Trailer

    Fotos1

    Poster ansehen

    Topbesetzung67

    Ändern
    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
    • Regie
      • Shalini Kantayya
    • Drehbuch
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Komplette Besetzung und alle Crew-Mitglieder
    • Produktion, Einspielergebnisse & mehr bei IMDbPro

    Benutzerrezensionen50

    6,82.8K
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    Empfohlene Bewertungen

    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.
    7cherold

    informative

    I've heard a lot about the various algorithmic failures around race. This is a good overview of the discussion that talks about some things I haven't seen before. When you see it put all together in one place it's pretty shocking.

    At the same time, purely as a documentary this is kind of weak. It's sometimes a little muddled, and it sometimes stretches a point a bit too far. Some of the things it tries to fold into the narrative are less examples of technological racism and more examples of actual criminal behavior. There's a difference between slippery tech and actions that resulted in people going to jail.

    Still, it's a compelling film.
    6keikoyoshikawa

    Is It A Conspiracy or Incompetence?

    Algorithms are not magical systems. At their core they are simply data. Feed your programs with rubbish or incomplete data sets, and you'll get rubbish or inaccurate outputs. What surprises me is not that this is happening with programs like facial recognition software; what surprises me is that the basics taught in any beginning programming class are somehow forgotten.

    That said, this documentary feels incomplete. It seems to be one-sided, with lots of interviews with people who are against the use of AI.

    But while the film-makers do an ok job of highlighting the dangers and inadequacies of AI systems such as facial recognition software, they failed to show what really is behind these glaring.blunders - was it some kind of knowing omission meant to create more biases, was it a case of software engineers creating something that they themselves don't understand and thus making a mess of things, or was it simply incompetence.on the part of many involved?

    Who knows. And that's the problem with this film.
    7Jeremy_Urquhart

    A good documentary with some unsettling predictions about the future

    Will get the criticisms out of the way first, because by and large this was a really well-made documentary.

    It's minor, but wasn't sure why some interviewees were framed with so much headroom. Then again, Mr Robot did that and I never understood it there, and given that that was also concerned with themes of technology and surveillance, maybe there's some shared symbolism I'm not picking up on.

    Some of the segments with the AI saying menacing things were a little cheesy, but overall brief at least.

    There's also a sense that the documentary may cover a little too much in its 85-minute runtime. While I can admire its ambition in covering so many aspects of facial recognition software, its racial biases, algorithm discrimination, and so on, it does make for a documentary that jumps around a fair bit and not always smoothly... at least all the topics are interesting on their own.

    But in the end, it covers important topics and presents compelling arguments about particular flaws and biases in technology. It does warn that this is something that if unchecked could become a serious problem, so I like the attempt to bring awareness to this issue before it completely spirals out of control.

    It's well edited, features interesting interviewees and subjects, and ends on a little more hope than I was anticipating, which was a nice surprise. Overall, it's one of the better Netflix documentaries I've watched in a while.
    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.

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    • Zitate

      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.

    • Verbindungen
      Featured in Jeremy Vine: Folge #4.95 (2021)

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    Details

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    • Erscheinungsdatum
      • 5. April 2021 (Deutschland)
    • Herkunftsländer
      • Vereinigte Staaten
      • China
      • Vereinigtes Königreich
    • Offizielle Standorte
      • Facebook
      • Instagram
    • Sprache
      • Englisch
    • Auch bekannt als
      • Kodlanmış Önyargı
    • Drehorte
      • Brooklyn, New York City, New York, USA
    • Produktionsfirmen
      • 7th Empire Media
      • Chicken And Egg Pictures
      • Ford Foundation - Just Films
    • Weitere beteiligte Unternehmen bei IMDbPro anzeigen

    Box Office

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    • Bruttoertrag in den USA und Kanada
      • 10.236 $
    • Eröffnungswochenende in den USA und in Kanada
      • 10.236 $
      • 15. Nov. 2020
    • Weltweiter Bruttoertrag
      • 10.236 $
    Weitere Informationen zur Box Office finden Sie auf IMDbPro.

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