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Hey, guys. - We knew each other
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Coded Bias

Hey, guys.- We knew each other {\an1}since we were, like, 18, so two years olderthan you...

Hey, guys.
- We knew each other {\an1}since we were, like, 18, so two years older
than you guys

Full Transcript

00:00:01.000 --> 00:00:01.976
- Hey, guys. - We knew each other
00:00:02.000 --> 00:00:02.977
{\an1}since we were, like, 18,
00:00:03.989 --> 00:00:04.976
so two years older than you guys.
Duration
5 seconds
Views
28
Timestamp in Movie
00:50:44
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...
- And their scores through this algorithm - Coded Bias 00:08
- And their scores through this algorithm
Not good enough when you're talking - Coded Bias 00:12
Not good enough when you're talking
{\an7}It calculates what value the teacher added, - Coded Bias 00:09
{\an7}It calculates what value the teacher added,
[indistinct chatter] - Coded Bias 00:07
[indistinct chatter]
[bell rings] - Coded Bias 00:10
[bell rings]
{\an1}I also was recognized for volunteering. - Coded Bias 00:05
{\an1}I also was recognized for volunteering.
I also received another recognition - Coded Bias 00:05
I also received another recognition
I have a file of every evaluation, - Coded Bias 00:08
I have a file of every evaluation,
{\an7}"excellent, excellent, exceeds expectations." - Coded Bias 00:11
{\an7}"excellent, excellent, exceeds expectations."...
{\an1}This algorithm came back - Coded Bias 00:07
{\an1}This algorithm came back
{\an1}Some had been targeted simply because of the algorithm. - Coded Bias 00:05
{\an1}Some had been targeted simply because of the algorithm...
That was such a low point for me - Coded Bias 00:08
That was such a low point for me
[dramatic music] - Coded Bias 00:08
[dramatic music]
{\an1}And that's when I began to investigate it - Coded Bias 00:06
{\an1}And that's when I began to investigate it
{\an1}- We are announcing that late yesterday we filed suit - Coded Bias 00:10
{\an1}- We are announcing that late yesterday we filed suit
{\an1}- The Houston Federation of Teachers - Coded Bias 00:05
{\an1}- The Houston Federation of Teachers
If this can happen to Mr. Santos - Coded Bias 00:07
If this can happen to Mr. Santos
And so we sued based upon the 14th Amendment. - Coded Bias 00:05
And so we sued based upon the 14th Amendment.
How can you arrive at a conclusion - Coded Bias 00:07
How can you arrive at a conclusion
{\an1}[speaking indistinctly] - Coded Bias 00:05
{\an1}[speaking indistinctly]