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{\an1}Amazon has been under fire for the use of
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Coded Bias

{\an1}Amazon has been under firefor the use of Amazon Rekognitionwith law enforcement,...

{\an1}Amazon has been under fire
for the use of Amazon Rekognition
with law enforcement, {\an1}and they're also working with
intelligence agencies, right?

Full Transcript

00:00:01.000 --> 00:00:04.976
{\an1}Amazon has been under fire for the use of
00:00:05.000 --> 00:00:07.976
Amazon Rekognition with law enforcement,
00:00:08.000 --> 00:00:11.976
{\an1}and they're also working with intelligence agencies, right?
Duration
12 seconds
Views
23
Timestamp in Movie
00:43:46
Uploaded
May 26, 2025
Genres
documentary
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

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Movie Summary

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...
{\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...