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Coded Bias

  • 2020
  • TV-MA
  • 1h 26min
VALUTAZIONE IMDb
6,8/10
2885
LA TUA VALUTAZIONE
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.
Riproduci trailer2:28
1 video
2 foto
Un documentario

Aggiungi una trama nella tua linguaWhen 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... Leggi tuttoWhen 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.

  • Regia
    • Shalini Kantayya
  • Sceneggiatura
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Star
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • Vedi le informazioni sulla produzione su IMDbPro
  • VALUTAZIONE IMDb
    6,8/10
    2885
    LA TUA VALUTAZIONE
    • Regia
      • Shalini Kantayya
    • Sceneggiatura
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Star
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50Recensioni degli utenti
    • 34Recensioni della critica
    • 73Metascore
  • Vedi le informazioni sulla produzione su IMDbPro
    • Premi
      • 3 vittorie e 6 candidature totali

    Video1

    Official Trailer
    Trailer 2:28
    Official Trailer

    Foto1

    Visualizza poster

    Interpreti principali67

    Modifica
    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
    • Regia
      • Shalini Kantayya
    • Sceneggiatura
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Tutti gli interpreti e le troupe
    • Produzione, botteghino e altro su IMDbPro

    Recensioni degli utenti50

    6,82.8K
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    Recensioni in evidenza

    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.
    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.
    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.

    .
    8schaeh

    Educational despite what the whiney 1 star reviewers say

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

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    Trama

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    Lo sapevi?

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    • Citazioni

      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.

    • Connessioni
      Featured in Jeremy Vine: Episodio #4.95 (2021)

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    • How long is Coded Bias?Powered by Alexa

    Dettagli

    Modifica
    • Data di uscita
      • 11 novembre 2020 (Stati Uniti)
    • Paesi di origine
      • Stati Uniti
      • Cina
      • Regno Unito
    • Siti ufficiali
      • Facebook
      • Instagram
    • Lingua
      • Inglese
    • Celebre anche come
      • Kodlanmış Önyargı
    • Luoghi delle riprese
      • Brooklyn, New York, New York, Stati Uniti
    • Aziende produttrici
      • 7th Empire Media
      • Chicken And Egg Pictures
      • Ford Foundation - Just Films
    • Vedi altri crediti dell’azienda su IMDbPro

    Botteghino

    Modifica
    • Lordo Stati Uniti e Canada
      • 10.236 USD
    • Fine settimana di apertura Stati Uniti e Canada
      • 10.236 USD
      • 15 nov 2020
    • Lordo in tutto il mondo
      • 10.236 USD
    Vedi le informazioni dettagliate del botteghino su IMDbPro

    Specifiche tecniche

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    • Tempo di esecuzione
      • 1h 26min(86 min)
    • Colore
      • Color

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