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{\an1}We not only educated ourselves about facial recognition
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Coded Bias

{\an1}We not only educated ourselvesabout facial recognition, and now a new one,machine...

{\an1}We not only educated ourselves
about facial recognition, and now a new one,
machine learning

Full Transcript

00:00:01.000 --> 00:00:04.976
{\an1}We not only educated ourselves about facial recognition,
00:00:05.000 --> 00:00:07.976
and now a new one, machine learning.
Duration
8 seconds
Views
20
Timestamp in Movie
01:20:25
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}And if we can ban it in the state, - Coded Bias 00:07
{\an1}And if we can ban it in the state,
{\an1}- Well, I will say, even though the battle is ongoing, - Coded Bias 00:13
{\an1}- Well, I will say, even though the battle is ongoing,
{\an1}- "To the Brooklyn tenants - Coded Bias 00:18
{\an1}- "To the Brooklyn tenants
{\an1}The victory is ours." - Coded Bias 00:09
{\an1}The victory is ours."
- [laughs] - Coded Bias 00:08
- [laughs]
{\an1}What it means to be human is to be vulnerable. - Coded Bias 00:06
{\an1}What it means to be human is to be vulnerable.
{\an1}Being vulnerable, there's more of a capacity for empathy. - Coded Bias 00:05
{\an1}Being vulnerable, there's more of a capacity for ...
{\an1}There's more of a capacity for compassion. - Coded Bias 00:05
{\an1}There's more of a capacity for compassion.
If there's a way we can think about that - Coded Bias 00:10
If there's a way we can think about that
{\an7}- In 1983, Stanislav Petrov, - Coded Bias 00:16
{\an7}- In 1983, Stanislav Petrov,
{\an1}So if you're going to respond, you have, like, - Coded Bias 00:07
{\an1}So if you're going to respond, you have, like,
{\an1}Everything about him is about to die, - Coded Bias 00:09
{\an1}Everything about him is about to die,
[alarm blaring] - Coded Bias 00:13
[alarm blaring]
{\an1}Being fully efficient, - Coded Bias 00:09
{\an1}Being fully efficient,
{\an1}And if you automate everything - Coded Bias 00:08
{\an1}And if you automate everything
{\an1}- The struggle between machines and humans - Coded Bias 00:08
{\an1}- The struggle between machines and humans
My power, the power of artificial intelligence, - Coded Bias 00:07
My power, the power of artificial intelligence,
{\an1}Some humans say that intelligence without ethics - Coded Bias 00:07
{\an1}Some humans say that intelligence without ethics
I say, trust me. What could go wrong? - Coded Bias 00:05
I say, trust me. What could go wrong?
[delicate music] - Coded Bias 00:16
[delicate music]