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{\an1}or whatever you wanna call it, algorithms... is power
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Coded Bias

{\an1}or whatever you wanna call it,algorithms... is power, {\an1}'cause it's really all...

{\an1}or whatever you wanna call it,
algorithms... is power, {\an1}'cause it's really all about
who owns the [bleep] code

Full Transcript

00:00:01.000 --> 00:00:03.976
{\an1}or whatever you wanna call it, algorithms... is power,
00:00:04.000 --> 00:00:07.976
{\an1}'cause it's really all about who owns the [bleep] code.
Duration
8 seconds
Views
35
Timestamp in Movie
00:10:10
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}The people who own the code then deploy it on other people, - Coded Bias 00:07
{\an1}The people who own the code then deploy it on other pe...
{\an1}There's no way for people - Coded Bias 00:11
{\an1}There's no way for people
{\an1}They're not being told what's happening to them, - Coded Bias 00:06
{\an1}They're not being told what's happening to t...
{\an1}[indistinct chatter] - Coded Bias 00:05
{\an1}[indistinct chatter]
{\an1}- The underlying mathematical structure of the algorithm - Coded Bias 00:12
{\an1}- The underlying mathematical structure of the algorit...
{\an7}[indistinct chatter, shouts] - Coded Bias 00:08
{\an7}[indistinct chatter, shouts]
{\an7}We all know that humans can exhibit racist or sexist - Coded Bias 00:09
{\an7}We all know that humans can exhibit racist or sexist
{\an7}But now we have this beautiful silver bullet algorithm, - Coded Bias 00:07
{\an7}But now we have this beautiful silver bullet algorithm...
[tense music] - Coded Bias 00:09
[tense music]
{\an1}We need to constantly monitor every process for bias. - Coded Bias 00:05
{\an1}We need to constantly monitor every process for bias.
{\an8}♪ ♪ - Coded Bias 00:10
{\an8}♪ ♪
{\an7}Police are using facial recognition surveillance - Coded Bias 00:05
{\an7}Police are using facial recognition surveillance
{\an7}Police are using facial recognition surveillance - Coded Bias 00:05
{\an7}Police are using facial recognition surveillance
{\an1}- This green van over here - Coded Bias 00:06
{\an1}- This green van over here
{\an8}- No, exactly. - Yeah. - Coded Bias 00:05
{\an8}- No, exactly. - Yeah.
{\an8}[suspenseful music] - Coded Bias 00:14
{\an8}[suspenseful music]
{\an7}At Big Brother Watch, we conducted - Coded Bias 00:17
{\an7}At Big Brother Watch, we conducted
{\an8}♪ ♪ - Coded Bias 00:18
{\an8}♪ ♪
- Even if this was 100% accurate, - Coded Bias 00:05
- Even if this was 100% accurate,
- No. I mean, the systemic biases - Coded Bias 00:08
- No. I mean, the systemic biases