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Coded Bias

  • 2020
  • TV-MA
  • 1h 26min
VALUTAZIONE IMDb
6,8/10
2881
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
Documentary

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
    2881
    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

    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.

    .
    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.
    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.

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    Trama

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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

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    • Colore
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