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Coded Bias

  • 2020
  • PG
  • 1h 26m
ÉVALUATION 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.
Liretrailer2:28
1 vidéo
2 photos
Documentaire

Lorsque Joy Buolamwini, chercheuse au MIT, découvre que la reconnaissance faciale ne voit pas avec précision les visages à la peau sombre, elle fait pression pour la première législation amé... Tout lireLorsque Joy Buolamwini, chercheuse au MIT, découvre que la reconnaissance faciale ne voit pas avec précision les visages à la peau sombre, elle fait pression pour la première législation américaine contre les préjugés dans les algorithmes.Lorsque Joy Buolamwini, chercheuse au MIT, découvre que la reconnaissance faciale ne voit pas avec précision les visages à la peau sombre, elle fait pression pour la première législation américaine contre les préjugés dans les algorithmes.

  • Director
    • Shalini Kantayya
  • Writers
    • Christopher Seward
    • Paul Rachman
    • Kurt Engfehr
  • Stars
    • Joy Buolamwini
    • Meredith Broussard
    • Cathy O'Neil
  • Voir l’information sur la production à IMDbPro
  • ÉVALUATION IMDb
    6,8/10
    2,9 k
    MA NOTE
    • Director
      • Shalini Kantayya
    • Writers
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Stars
      • Joy Buolamwini
      • Meredith Broussard
      • Cathy O'Neil
    • 50Commentaires d'utilisateurs
    • 34Commentaires de critiques
    • 73Métascore
  • Voir l’information sur la production à IMDbPro
    • Prix
      • 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
    • Director
      • Shalini Kantayya
    • Writers
      • Christopher Seward
      • Paul Rachman
      • Kurt Engfehr
    • Tous les acteurs et membres de l'équipe
    • Production, box office et plus encore chez IMDbPro

    Commentaires des utilisateurs50

    6,82.8K
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    Avis en vedette

    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.
    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.
    T85k

    Ignore the "poor" reviewers, educate yourself and watch!!

    This information being brought to the fore on this documentary is incredibly informative and useful to know. Everyone using face recognition on their phone or anywhere, or that have a smartphone, apps, technology need to know how companies are using data.

    Interesting how the information was discovered to begin with... and to me it was a bit shocking that it was not entirely intentional a discovery. But a discovery nonetheless.

    I'd love to see this documentary delve into the use for employment platforms and their algorithms too. The documentary showcases how employment platforms may be removing candidates that have gone to certain universities or that participated in certain organizations, etc. (But then say they can't find "qualified" candidates? Yet, look at unemployment stats...)

    The bad reviews probably have vested interests and don't want people to know, or maybe are biased themselves? Either way....

    Don't let that deter from watching how your information is gathered and used by technology today and in the future to come.

    There is currently a big lack in regulation as AIs are being employed, so it's sort of a free for all until there's proper oversight.

    Is this the new way of discrimination that people don't even know is happening? Maybe.. but the documentary just touches the surface on what and how tech is and can be used and that there is desperate need for oversight and regulation.

    Must watch!! PLEASE educate yourself, you deserve to know this information.

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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: Episode #4.95 (2021)

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    FAQ17

    • How long is Coded Bias?Propulsé par Alexa

    Détails

    Modifier
    • Date de sortie
      • 11 novembre 2020 (United States)
    • Pays d’origine
      • United States
      • China
      • United Kingdom
    • Sites officiels
      • Facebook
      • Instagram
    • Langue
      • English
    • 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
    • Consultez plus de crédits d'entreprise sur IMDbPro

    Box-office

    Modifier
    • Brut – États-Unis et Canada
      • 10 236 $ US
    • Fin de semaine d'ouverture – États-Unis et Canada
      • 10 236 $ US
      • 15 nov. 2020
    • Brut – à l'échelle mondiale
      • 10 236 $ US
    Voir les informations détaillées sur le box-office sur IMDbPro

    Spécifications techniques

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    • Durée
      • 1h 26m(86 min)
    • Couleur
      • Color

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