Calendrier de lancementLes 250 meilleurs filmsFilms les plus populairesParcourir les films par genreBx-office supérieurHoraire des présentations et billetsNouvelles cinématographiquesPleins feux sur le cinéma indien
    À l’affiche à la télévision et en diffusion en temps réelLes 250 meilleures séries téléÉmissions de télévision les plus populairesParcourir les séries TV par genreNouvelles télévisées
    À regarderBandes-annonces récentesIMDb OriginalsChoix IMDbIMDb en vedetteGuide du divertissement familialBalados IMDb
    OscarsEmmysSan Diego Comic-ConSummer Watch GuideToronto Int'l Film FestivalPrix STARmeterCentre des prixCentre du festivalTous les événements
    Personnes nées aujourd’huiCélébrités les plus populairesNouvelles des célébrités
    Centre d’aideZone des contributeursSondages
Pour les professionnels de l’industrie
  • Langue
  • Entièrement prise en charge
  • English (United States)
    Partiellement prise en charge
  • Français (Canada)
  • Français (France)
  • Deutsch (Deutschland)
  • हिंदी (भारत)
  • Italiano (Italia)
  • Português (Brasil)
  • Español (España)
  • Español (México)
Liste de visionnement
Ouvrir une session
  • Entièrement prise en charge
  • English (United States)
    Partiellement prise en charge
  • Français (Canada)
  • Français (France)
  • Deutsch (Deutschland)
  • हिंदी (भारत)
  • Italiano (Italia)
  • Português (Brasil)
  • Español (España)
  • Español (México)
Utiliser l'application
  • Distribution et équipe technique
  • Commentaires des utilisateurs
  • FAQ
IMDbPro

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 min 28 s
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
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10

    Avis en vedette

    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.
    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.
    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.

    Plus de résultats de ce genre

    Órbita 9
    5,9
    Órbita 9
    Layla M.
    6,6
    Layla M.
    The Great Hack
    7,0
    The Great Hack
    Do You Trust This Computer?
    7,3
    Do You Trust This Computer?
    Trous noirs: Aux confins du savoir
    6,6
    Trous noirs: Aux confins du savoir
    Bigger Than Africa
    6,9
    Bigger Than Africa
    Derrière nos écrans de fumée
    7,6
    Derrière nos écrans de fumée
    City of Ghosts
    7,4
    City of Ghosts
    Not Just a Girl
    7,1
    Not Just a Girl
    The Internet's Own Boy: The Story of Aaron Swartz
    8,0
    The Internet's Own Boy: The Story of Aaron Swartz
    What's Next: The Future with Bill Gates
    6,2
    What's Next: The Future with Bill Gates
    Terms and Conditions May Apply
    7,3
    Terms and Conditions May Apply

    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)

    Meilleurs choix

    Connectez-vous pour évaluer et surveiller les recommandations personnalisées
    Se connecter

    FAQ

    • 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

    Modifier
    • Durée
      1 heure 26 minutes
    • Couleur
      • Color

    Contribuer à cette page

    Suggérer une modification ou ajouter du contenu manquant
    • En savoir plus sur la façon de contribuer
    Modifier la page

    En découvrir davantage

    Consultés récemment

    Veuillez activer les témoins du navigateur pour utiliser cette fonctionnalité. Apprenez-en plus.
    Télécharger l'application IMDb
    Connectez-vous pour plus d’accèsConnectez-vous pour plus d’accès
    Suivez IMDb sur les réseaux sociaux
    Télécharger l'application IMDb
    Pour Android et iOS
    Télécharger l'application IMDb
    • Aide
    • Index du site
    • IMDbPro
    • Box Office Mojo
    • Données IMDb de licence
    • Salle de presse
    • Publicité
    • Emplois
    • Conditions d'utilisation
    • Politique de confidentialité
    • Your Ads Privacy Choices
    IMDb, une entreprise d’Amazon

    © 1990-2025 by IMDb.com, Inc.