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The instrument uses an algorithm
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Coded Bias

The instrument uses an algorithm {\an1}to calculate someone'srisk of re-offending...

The instrument uses an algorithm {\an1}to calculate someone's
risk of re-offending {\an1}based on their age, gender,
prior convictions, and other pieces
of criminal history

Full Transcript

00:00:01.000 --> 00:00:02.976
The instrument uses an algorithm
00:00:03.000 --> 00:00:04.976
{\an1}to calculate someone's risk of re-offending
00:00:05.000 --> 00:00:07.976
{\an1}based on their age, gender, prior convictions,
00:00:08.000 --> 00:00:10.976
and other pieces of criminal history.
Duration
11 seconds
Views
24
Timestamp in Movie
00:54:59
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...
- The algorithm that kept me up at night - Coded Bias 00:05
- The algorithm that kept me up at night
{\an1}These are algorithms that judges are given - Coded Bias 00:06
{\an1}These are algorithms that judges are given
But then there's the question of fairness, - Coded Bias 00:07
But then there's the question of fairness,
{\an1}- ProPublica published an investigation - Coded Bias 00:08
{\an1}- ProPublica published an investigation
The study found that Black people - Coded Bias 00:11
The study found that Black people
{\an8}[display buzzes] - Coded Bias 00:11
{\an8}[display buzzes]
{\an1}I just got two citations, - Coded Bias 00:11
{\an1}I just got two citations,
{\an7}They were just, like, mentioning - Coded Bias 00:09
{\an7}They were just, like, mentioning
And so I knew that the algorithm decided - Coded Bias 00:05
And so I knew that the algorithm decided
{\an1}- That educated me enough to go back to my PO and be like, - Coded Bias 00:21
{\an1}- That educated me enough to go back to my PO and be l...
{\an1}- And by labeling you high-risk - Coded Bias 00:09
{\an1}- And by labeling you high-risk
{\an1}- That's what hurt the most, - Coded Bias 00:08
{\an1}- That's what hurt the most,
[tense music] - Coded Bias 00:20
[tense music]
{\an1}I started to realize this isn't about my art project - Coded Bias 00:08
{\an1}I started to realize this isn't about my art proj...
{\an1}This is about systems that are governing our lives - Coded Bias 00:06
{\an1}This is about systems that are governing our lives
I wanted to create a space and a place - Coded Bias 00:09
I wanted to create a space and a place
{\an7}Everybody has a stake. Everybody is impacted. - Coded Bias 00:05
{\an7}Everybody has a stake. Everybody is impacted.
{\an7}It's a group of people who care about making a future - Coded Bias 00:10
{\an7}It's a group of people who care about making a fu...
{\an1}The next mountain to climb - Coded Bias 00:05
{\an1}The next mountain to climb
- There's a problem with résumé algorithms - Coded Bias 00:09
- There's a problem with résumé algorithms