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{\an1}And the headline reads
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Coded Bias

{\an1}And the headline reads, {\an1}"Unmasking a Concern,"the subtitle, {\an1}"Amazon's...

{\an1}And the headline reads, {\an1}"Unmasking a Concern,"
the subtitle, {\an1}"Amazon's technology that
analyzes faces "could be biased,
a new study suggests, but the company
is pushing it anyway." {\an1}So this is what I would assume
Jeff Bezos was greeted with when he opened
"The Times," yeah

Full Transcript

00:00:01.000 --> 00:00:02.976
{\an1}And the headline reads,
00:00:03.000 --> 00:00:06.976
{\an1}"Unmasking a Concern," the subtitle,
00:00:07.000 --> 00:00:10.976
{\an1}"Amazon's technology that analyzes faces
00:00:11.000 --> 00:00:13.976
"could be biased, a new study suggests,
00:00:14.000 --> 00:00:15.976
but the company is pushing it anyway."
00:00:16.000 --> 00:00:20.976
{\an1}So this is what I would assume Jeff Bezos was greeted with
00:00:21.000 --> 00:00:24.976
when he opened "The Times," yeah.
Duration
25 seconds
Views
29
Timestamp in Movie
00:42:08
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...
- 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,