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{\an7}They were just, like, mentioning
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Coded Bias

{\an7}They were just, like, mentioning {\an7}that they had this algorithm {\an8}that...

{\an7}They were just, like, mentioning {\an7}that they had this algorithm {\an8}that labeled people
high, medium, or low-risk

Full Transcript

00:00:01.000 --> 00:00:02.976
{\an7}They were just, like, mentioning
00:00:03.000 --> 00:00:04.976
{\an7}that they had this algorithm
00:00:05.000 --> 00:00:08.976
{\an8}that labeled people high, medium, or low-risk.
Duration
9 seconds
Views
25
Timestamp in Movie
00:56:33
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 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
We'll put these two people together." - Coded Bias 00:06
We'll put these two people together."
{\an1}- When people talk about the future of work, - Coded Bias 00:06
{\an1}- When people talk about the future of work,
- Yup. - Like, who gets the jobs - Coded Bias 00:05
- Yup. - Like, who gets the jobs
- This morning's plenary address - Coded Bias 00:05
- This morning's plenary address
She'll be speaking on the dangers - Coded Bias 00:05
She'll be speaking on the dangers
[applause] - Coded Bias 00:10
[applause]
{\an1}How accurate are systems from IBM, Microsoft, and Face++? - Coded Bias 00:06
{\an1}How accurate are systems from IBM, Microsoft, and Face...
{\an7}After I did this analysis, I decided to share it - Coded Bias 00:07
{\an7}After I did this analysis, I decided to share it