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The government who's building this
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Coded Bias

The governmentwho's building this {\an1}is basically saying, "You should knowyou're being...

The government
who's building this {\an1}is basically saying, "You should know
you're being tracked, and you should
behave accordingly." It's, like,
algorithmic obedience training

Full Transcript

00:00:01.000 --> 00:00:01.976
The government who's building this
00:00:02.000 --> 00:00:02.977
{\an1}is basically saying,
00:00:03.989 --> 00:00:04.976
"You should know you're being tracked,
00:00:05.000 --> 00:00:05.977
and you should behave accordingly."
00:00:06.003 --> 00:00:08.976
It's, like, algorithmic obedience training.
Duration
9 seconds
Views
23
Timestamp in Movie
01:03:42
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...
[car horns honking] - Coded Bias 00:09
[car horns honking]
{\an8}♪ ♪ - Coded Bias 00:08
{\an8}♪ ♪
- We look at China - Coded Bias 00:16
- We look at China
{\an1}We are all grappling every day with algorithmic determinism. - Coded Bias 00:06
{\an1}We are all grappling every day with algorithmic determ...
{\an1}Somebody's algorithm somewhere has assigned you a score, - Coded Bias 00:09
{\an1}Somebody's algorithm somewhere has assigned you a...
You are being shown better or worse mortgages. - Coded Bias 00:06
You are being shown better or worse mortgages.
{\an1}You are more or less likely to be profiled as a criminal - Coded Bias 00:07
{\an1}You are more or less likely to be profiled as a crimin...
{\an1}The key difference between the United States and in China - Coded Bias 00:06
{\an1}The key difference between the United States and in Ch...
{\an7}- This young Black kid in school uniform - Coded Bias 00:06
{\an7}- This young Black kid in school uniform
{\an1}Took him down that street, just to one side, - Coded Bias 00:08
{\an1}Took him down that street, just to one side,
After about, like, maybe 10, 15 minutes - Coded Bias 00:11
After about, like, maybe 10, 15 minutes
{\an8}we're called Big Brother Watch, - Coded Bias 00:09
{\an8}we're called Big Brother Watch,
{\an7}They... you've just been stopped because of that, - Coded Bias 00:07
{\an7}They... you've just been stopped because of that,
{\an1}They... you've been mis... You've been misidentified - Coded Bias 00:08
{\an1}They... you've been mis... You've been misid...
{\an1}But this is an innocent, young, 14-year-old child - Coded Bias 00:08
{\an1}But this is an innocent, young, 14-year-old child
{\an1}[talking over each other] - Coded Bias 00:15
{\an1}[talking over each other]
{\an1}I felt if they can do it to me - Coded Bias 00:17
{\an1}I felt if they can do it to me
- You know this is the first challenge - Coded Bias 00:14
- You know this is the first challenge
[laughs] - Coded Bias 00:16
[laughs]
{\an7}It says that the individuals have a right - Coded Bias 00:09
{\an7}It says that the individuals have a right