Agrega una trama en tu idiomaWhen 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... Leer todoWhen 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.
- Dirección
- Guionistas
- Elenco
- Premios
- 3 premios ganados y 6 nominaciones en total
- Self - Author, Weapons of Math Destruction
- (as Cathy O'Neil Ph.D.)
- Self - Author, Twitter and Tear Gas
- (as Zeynep Tufekci Ph.D.)
- Self - Author, Automating Inequality
- (as Virginia Eubanks Ph.D.)
- Self - Technical Co-Lead, Ethical A.I. Team at Google
- (as Timnit Gebru Ph.D.)
- Self - Author, Algorithms of Oppression
- (as Safiya Umoja Noble Ph.D.)
Opiniones destacadas
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.
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.
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.
At the same time, purely as a documentary this is kind of weak. It's sometimes a little muddled, and it sometimes stretches a point a bit too far. Some of the things it tries to fold into the narrative are less examples of technological racism and more examples of actual criminal behavior. There's a difference between slippery tech and actions that resulted in people going to jail.
Still, it's a compelling film.
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- Citas
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.
- ConexionesFeatured in Jeremy Vine: Episode #4.95 (2021)
Selecciones populares
- How long is Coded Bias?Con tecnología de Alexa
Detalles
- Fecha de lanzamiento
- Países de origen
- Sitios oficiales
- Idioma
- También se conoce como
- Kodlanmış Önyargı
- Locaciones de filmación
- Productoras
- Ver más créditos de la compañía en IMDbPro
Taquilla
- Total en EE. UU. y Canadá
- USD 10,236
- Fin de semana de estreno en EE. UU. y Canadá
- USD 10,236
- 15 nov 2020
- Total a nivel mundial
- USD 10,236
- Tiempo de ejecución1 hora 26 minutos
- Color