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Coded Bias

  • 2020
  • TV-MA
  • 1 h 26 min
AVALIAÇÃO DA IMDb
6,8/10
2,9 mil
SUA AVALIAÇÃO
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.
Reproduzir trailer2:28
1 vídeo
2 fotos
Documentário

Adicionar um enredo no seu idiomaWhen 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... Ler tudoWhen 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.

  • Direção
    • Shalini Kantayya
  • Roteiristas
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Artistas
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • Veja as informações de produção no IMDbPro
  • AVALIAÇÃO DA IMDb
    6,8/10
    2,9 mil
    SUA AVALIAÇÃO
    • Direção
      • Shalini Kantayya
    • Roteiristas
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Artistas
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50Avaliações de usuários
    • 34Avaliações da crítica
    • 73Metascore
  • Veja as informações de produção no IMDbPro
    • Prêmios
      • 3 vitórias e 6 indicações no total

    Vídeos1

    Official Trailer
    Trailer 2:28
    Official Trailer

    Fotos1

    Ver pôster

    Elenco principal67

    Editar
    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
    • Direção
      • Shalini Kantayya
    • Roteiristas
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Elenco e equipe completos
    • Produção, bilheteria e muito mais no IMDbPro

    Avaliações de usuários50

    6,82.8K
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    Avaliações em destaque

    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.
    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.
    8alexandresilvacastro

    very, VERY!good minus the slight "wokeness"

    This documentary shows exacly why we as the people cannot not be divided,and it shows the true enemy of western civilizations ,authoritarianism. We can not allow goverments to sell us the idea that we have to pay for safety with freedoms.

    There´s little focus but very hyperbolic interpertation of the data when it came to racial profiling by the AI... just a whiff of "wokeness" that was digestible to me, but also caused the polarization on this review section.

    The rest of the documentary is well produced, informative, and seriously eye opening and you should see it because any of the negatives at least for me dont even come close to the deeper understandig you get from practical examples you see around the world that are very scary.

    .
    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.
    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.

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    • Citações

      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.

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

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    Detalhes

    Editar
    • Data de lançamento
      • 5 de abril de 2021 (Brasil)
    • Países de origem
      • Estados Unidos da América
      • China
      • Reino Unido
    • Centrais de atendimento oficiais
      • Facebook
      • Instagram
    • Idioma
      • Inglês
    • Também conhecido como
      • Kodlanmış Önyargı
    • Locações de filme
      • Brooklyn, Nova Iorque, Nova Iorque, EUA
    • Empresas de produção
      • 7th Empire Media
      • Chicken And Egg Pictures
      • Ford Foundation - Just Films
    • Consulte mais créditos da empresa na IMDbPro

    Bilheteria

    Editar
    • Faturamento bruto nos EUA e Canadá
      • US$ 10.236
    • Fim de semana de estreia nos EUA e Canadá
      • US$ 10.236
      • 15 de nov. de 2020
    • Faturamento bruto mundial
      • US$ 10.236
    Veja informações detalhadas da bilheteria no IMDbPro

    Especificações técnicas

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    • Tempo de duração
      1 hora 26 minutos
    • Cor
      • Color

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