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Coded Bias

Coded Bias poster
★ ★ ★ ★ ★
IMDb
6.8
Metascore
73
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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...
Director
Shalini Kantayya
Year
2020
Genre
documentary
Box Office
$10,236
Production
7th Empire Media,Independent Lens,ITVS,JustFilms / Ford Foundation,Chicken & Egg Films,Women Make Movies,The Alfred P. Sloan Foundation Production Grant,Sundance Institute
Awards
3 wins & 6 nominations
Homepage
https://www.codedbias.com/
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You either saw, "It's election day" text - Coded Bias 00:16
You either saw, "It's election day" text
So by showing a slight variation just once, - Coded Bias 00:10
So by showing a slight variation just once,
{\an1}One Facebook message shown just once - Coded Bias 00:13
{\an1}One Facebook message shown just once
{\an1}Let's say that there's a politician that's promising - Coded Bias 00:22
{\an1}Let's say that there's a politician that...
{\an1}Maybe with a heavier touch they can swing - Coded Bias 00:12
{\an1}Maybe with a heavier touch they can swing
[low ambient music] - Coded Bias 00:07
[low ambient music]
{\an7}I think about nine years old I saw the Media Lab on TV, - Coded Bias 00:10
{\an7}I think about nine years old I saw the Media Lab on TV...
{\an1}It could smile and move its ears in cute ways, - Coded Bias 00:13
{\an1}It could smile and move its ears in cute ways,
{\an7}I thought you kinda showed up, but here I am now. - Coded Bias 00:05
{\an7}I thought you kinda showed up, but here I am now.
{\an8}[both laugh] - Coded Bias 00:11
{\an8}[both laugh]
{\an1}I wanted to create something - Coded Bias 00:06
{\an1}I wanted to create something
I'm excited about what it could do, - Coded Bias 00:09
I'm excited about what it could do,
{\an1}[soft dramatic music] - Coded Bias 00:17
{\an1}[soft dramatic music]
There were some vulnerabilities - Coded Bias 00:18
There were some vulnerabilities
{\an7}- I [bleep] hate feminists, - Coded Bias 00:05
{\an7}- I [bleep] hate feminists,
{\an7}- It did not take long for internet trolls - Coded Bias 00:06
{\an7}- It did not take long for internet trolls
{\an7}- It's important to note it's not the movie - Coded Bias 00:05
{\an7}- It's important to note it's not the movie
{\an7}These were human beings training them, - Coded Bias 00:07
{\an7}These were human beings training them,
{\an1}- Microsoft shut Tay off - Coded Bias 00:12
{\an1}- Microsoft shut Tay off
{\an1}Many companies utilize me to optimize their tasks. - Coded Bias 00:06
{\an1}Many companies utilize me to optimize their tasks.
I am listening. I am learning. - Coded Bias 00:06
I am listening. I am learning.
{\an1}I am making predictions for your life right now. - Coded Bias 00:05
{\an1}I am making predictions for your life right now.
{\an1}[thrumming tense music] - Coded Bias 00:11
{\an1}[thrumming tense music]
Turns out Amazon, like all of its peers, - Coded Bias 00:10
Turns out Amazon, like all of its peers,
- Introducing Amazon Rekognition Video, - Coded Bias 00:11
- Introducing Amazon Rekognition Video,
{\an1}Recognize and track persons of interest - Coded Bias 00:07
{\an1}Recognize and track persons of interest
{\an1}- When our research came out, "The New York Times" - Coded Bias 00:07
{\an1}- When our research came out, "The New York Times...
{\an1}And the headline reads, - Coded Bias 00:25
{\an1}And the headline reads,
- People were like, "How did you even, like, - Coded Bias 00:07
- People were like, "How did you even, like,
{\an1}Like, I did... I wasn't able to use a lot of, like, - Coded Bias 00:15
{\an1}Like, I did... I wasn't able to use a lot of, lik...
{\an1}The lead author of the paper, who is somebody that I mentor, - Coded Bias 00:09
{\an1}The lead author of the paper, who is somebody that I m...
[dramatic music] - Coded Bias 00:10
[dramatic music]
{\an1}Amazon has been under fire for the use of - Coded Bias 00:12
{\an1}Amazon has been under fire for the use of
{\an1}So Amazon trialing their AI technology with the FBI. - Coded Bias 00:05
{\an1}So Amazon trialing their AI technology with the FBI.
{\an1}If they knowingly sold systems - Coded Bias 00:10
{\an1}If they knowingly sold systems
[siren wailing] - Coded Bias 00:17
[siren wailing]
So a VP from Amazon, - Coded Bias 00:23
So a VP from Amazon,
{\an1}like, I remember he wrote, - Coded Bias 00:08
{\an1}like, I remember he wrote,
{\an1}- I was gonna say... I was, like, - Coded Bias 00:07
{\an1}- I was gonna say... I was, like,
It wasn't a well thought out piece, - Coded Bias 00:09
It wasn't a well thought out piece,
{\an1}- I don't know if you guys feel this way, - Coded Bias 00:06
{\an1}- I don't know if you guys feel this way,
It's a continuation of the experiences - Coded Bias 00:07
It's a continuation of the experiences
{\an1}Expect your research to be dismissed. - Coded Bias 00:05
{\an1}Expect your research to be dismissed.
[melancholy music] - Coded Bias 00:24
[melancholy music]
So for me, it was disconcerting, - Coded Bias 00:12
So for me, it was disconcerting,
- When I was 14, I went to a math camp - Coded Bias 00:19
- When I was 14, I went to a math camp
{\an1}Like, I remember being told - Coded Bias 00:23
{\an1}Like, I remember being told
{\an8}It was 2006, - Coded Bias 00:08
{\an8}It was 2006,
{\an1}I didn't know anything about programming - Coded Bias 00:06
{\an1}I didn't know anything about programming
{\an1}When I first got there, I kind of drank the Kool-Aid. - Coded Bias 00:05
{\an1}When I first got there, I kind of drank the Kool-Aid.
I, at that moment, did not realize - Coded Bias 00:07
I, at that moment, did not realize
{\an1}For example, when Americans are bet against - Coded Bias 00:11
{\an1}For example, when Americans are bet against
{\an1}So it's, like, looking for a particular profile of people - Coded Bias 00:13
{\an1}So it's, like, looking for a particular profile o...
{\an1}That was an algorithmic game that came out of Wall Street. - Coded Bias 00:05
{\an1}That was an algorithmic game that came out of Wall Str...
{\an1}The tyranny of these types of practices of discrimination - Coded Bias 00:09
{\an1}The tyranny of these types of practices of discriminat...
{\an8}- There was a world of suffering - Coded Bias 00:06
{\an8}- There was a world of suffering
{\an7}After a couple years there, I was like, - Coded Bias 00:11
{\an7}After a couple years there, I was like,
{\an7}This is 15 times... 7. - Coded Bias 00:08
{\an7}This is 15 times... 7.
I use data to make automated decisions - Coded Bias 00:10
I use data to make automated decisions
{\an1}Sometimes you don't even know - Coded Bias 00:05
{\an1}Sometimes you don't even know
I am called mathematical model, - Coded Bias 00:11
I am called mathematical model,
I am a black box. - Coded Bias 00:05
I am a black box.
[indistinct chatter] - Coded Bias 00:11
[indistinct chatter]
I got wind of it because my good friend - Coded Bias 00:07
I got wind of it because my good friend
- Hey, guys. - We knew each other - Coded Bias 00:05
- Hey, guys. - We knew each other
- And their scores through this algorithm - Coded Bias 00:08
- And their scores through this algorithm
Not good enough when you're talking - Coded Bias 00:12
Not good enough when you're talking
{\an7}It calculates what value the teacher added, - Coded Bias 00:09
{\an7}It calculates what value the teacher added,
[indistinct chatter] - Coded Bias 00:07
[indistinct chatter]
[bell rings] - Coded Bias 00:10
[bell rings]
{\an1}I also was recognized for volunteering. - Coded Bias 00:05
{\an1}I also was recognized for volunteering.
I also received another recognition - Coded Bias 00:05
I also received another recognition
I have a file of every evaluation, - Coded Bias 00:08
I have a file of every evaluation,
{\an7}"excellent, excellent, exceeds expectations." - Coded Bias 00:11
{\an7}"excellent, excellent, exceeds expectations."...
{\an1}This algorithm came back - Coded Bias 00:07
{\an1}This algorithm came back
{\an1}Some had been targeted simply because of the algorithm. - Coded Bias 00:05
{\an1}Some had been targeted simply because of the algorithm...
That was such a low point for me - Coded Bias 00:08
That was such a low point for me
[dramatic music] - Coded Bias 00:08
[dramatic music]
{\an1}And that's when I began to investigate it - Coded Bias 00:06
{\an1}And that's when I began to investigate it
{\an1}- We are announcing that late yesterday we filed suit - Coded Bias 00:10
{\an1}- We are announcing that late yesterday we filed suit
{\an1}- The Houston Federation of Teachers - Coded Bias 00:05
{\an1}- The Houston Federation of Teachers
If this can happen to Mr. Santos - Coded Bias 00:07
If this can happen to Mr. Santos
And so we sued based upon the 14th Amendment. - Coded Bias 00:05
And so we sued based upon the 14th Amendment.
How can you arrive at a conclusion - Coded Bias 00:07
How can you arrive at a conclusion
{\an1}[speaking indistinctly] - Coded Bias 00:05
{\an1}[speaking indistinctly]
{\an1}There are still communities, - Coded Bias 00:16
{\an1}There are still communities,
[speaking Spanish] - Coded Bias 00:06
[speaking Spanish]
- A judge said that their due process rights - Coded Bias 00:12
- A judge said that their due process rights
{\an1}But I don't understand why that legal decision - Coded Bias 00:07
{\an1}But I don't understand why that legal decision
{\an1}Like, why aren't we using that same argument, - Coded Bias 00:18
{\an1}Like, why aren't we using that same argument,
PrevPage of 5Next
Coded Bias poster
★ ★ ★ ★ ★
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...

User Rating: 0.0 (0 ratings)
Director: Shalini Kantayya
Writer: Christopher Seward, Paul Rachman, Kurt Engfehr
Production: 7th Empire Media,Independent Lens,ITVS,JustFilms / Ford Foundation,Chicken & Egg Films,Women Make Movies,The Alfred P. Sloan Foundation Production Grant,Sundance Institute
Genre: documentary
Year: 2020
MetaScore: 73/100
ImdbRating: 6.8
BoxOffice: $10,236
Released: 11 Nov 2020
Awards: 3 wins & 6 nominations
Homepage: https://www.codedbias.com/
Also watch: Joji, Canadian Bacon, The Year Earth Changed, Mr. Harrigan's Phone, The Fundamentals of Caring, Transporter 3, Scooby Doo, Nobody, Interstellar, Black Panther: Wakanda Forever, Oppenheimer, Me Before You, Evil Dead Rise, Joker, Thor: Ragnarok, Avatar: The Way of Water, Poor Things

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