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Coded Bias

  • 2020
  • TV-MA
  • 1h 26min
NOTE IMDb
6,8/10
2,9 k
MA NOTE
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.
Lire trailer2:28
1 Video
2 photos
Documentaire

Ajouter une intrigue dans votre langueWhen 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... Tout lireWhen 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.

  • Réalisation
    • Shalini Kantayya
  • Scénario
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Casting principal
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • Voir les informations de production sur IMDbPro
  • NOTE IMDb
    6,8/10
    2,9 k
    MA NOTE
    • Réalisation
      • Shalini Kantayya
    • Scénario
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Casting principal
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50avis d'utilisateurs
    • 34avis des critiques
    • 73Métascore
  • Voir les informations de production sur IMDbPro
    • Récompenses
      • 3 victoires et 6 nominations au total

    Vidéos1

    Official Trailer
    Trailer 2:28
    Official Trailer

    Photos1

    Voir l'affiche

    Rôles principaux67

    Modifier
    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
    • Réalisation
      • Shalini Kantayya
    • Scénario
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Toute la distribution et toute l’équipe technique
    • Production, box office et plus encore chez IMDbPro

    Avis des utilisateurs50

    6,82.8K
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    Avis à la une

    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.
    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.
    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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    Histoire

    Modifier

    Le saviez-vous

    Modifier
    • Citations

      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.

    • Connexions
      Featured in Jeremy Vine: Épisode #4.95 (2021)

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    FAQ17

    • How long is Coded Bias?Alimenté par Alexa

    Détails

    Modifier
    • Date de sortie
      • 11 novembre 2020 (États-Unis)
    • Pays d’origine
      • États-Unis
      • Chine
      • Royaume-Uni
    • Sites officiels
      • Facebook
      • Instagram
    • Langue
      • Anglais
    • Aussi connu sous le nom de
      • Kodlanmış Önyargı
    • Lieux de tournage
      • Brooklyn, Ville de New York, New York, États-Unis
    • Sociétés de production
      • 7th Empire Media
      • Chicken And Egg Pictures
      • Ford Foundation - Just Films
    • Voir plus de crédits d'entreprise sur IMDbPro

    Box-office

    Modifier
    • Montant brut aux États-Unis et au Canada
      • 10 236 $US
    • Week-end de sortie aux États-Unis et au Canada
      • 10 236 $US
      • 15 nov. 2020
    • Montant brut mondial
      • 10 236 $US
    Voir les infos détaillées du box-office sur IMDbPro

    Spécifications techniques

    Modifier
    • Durée
      1 heure 26 minutes
    • Couleur
      • Color

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