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{\an1}I started to realize this isn't about my art project
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Coded Bias

{\an1}I started to realize thisisn't about my art project {\an1}maybe not detecting my...

{\an1}I started to realize this
isn't about my art project {\an1}maybe not detecting my face

Full Transcript

00:00:01.000 --> 00:00:04.976
{\an1}I started to realize this isn't about my art project
00:00:05.000 --> 00:00:07.976
{\an1}maybe not detecting my face.
Duration
8 seconds
Views
23
Timestamp in Movie
00:57:42
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...
{\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
They replicated the results internally, - Coded Bias 00:08
They replicated the results internally,
{\an1}And so the day that I presented - Coded Bias 00:16
{\an1}And so the day that I presented
{\an1}Oftentimes people say, "Well, isn't the reason - Coded Bias 00:15
{\an1}Oftentimes people say, "Well, isn't the reas...
What did change was making it a priority - Coded Bias 00:10
What did change was making it a priority
{\an7}People couldn't be in certain areas after dark, for instance, - Coded Bias 00:24
{\an7}People couldn't be in certain areas after dark, f...
{\an1}Some of them try to determine what your ethnicity is. - Coded Bias 00:05
{\an1}Some of them try to determine what your ethnicity is.