अपनी भाषा में प्लॉट जोड़ेंWhen 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... सभी पढ़ेंWhen 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.
- पुरस्कार
- 3 जीत और कुल 6 नामांकन
- 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.)
फ़ीचर्ड समीक्षाएं
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.
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.
.
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.
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.
क्या आपको पता है
- भाव
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.
- कनेक्शनFeatured in Jeremy Vine: एपिसोड #4.95 (2021)
टॉप पसंद
- How long is Coded Bias?Alexa द्वारा संचालित
विवरण
- रिलीज़ की तारीख़
- कंट्री ऑफ़ ओरिजिन
- आधिकारिक साइटें
- भाषा
- इस रूप में भी जाना जाता है
- Kodlanmış Önyargı
- फ़िल्माने की जगहें
- उत्पादन कंपनियां
- IMDbPro पर और कंपनी क्रेडिट देखें
बॉक्स ऑफ़िस
- US और कनाडा में सकल
- $10,236
- US और कनाडा में पहले सप्ताह में कुल कमाई
- $10,236
- 15 नव॰ 2020
- दुनिया भर में सकल
- $10,236
- चलने की अवधि1 घंटा 26 मिनट
- रंग