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Yup. - Like, who gets the jobs
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Coded Bias

Yup.- Like, who gets the jobs {\an1}that are still there?- Exactly

Yup.
- Like, who gets the jobs {\an1}that are still there?
- Exactly

Full Transcript

00:00:01.000 --> 00:00:02.976
- Yup. - Like, who gets the jobs
00:00:03.000 --> 00:00:04.976
{\an1}that are still there? - Exactly.
Duration
5 seconds
Views
21
Timestamp in Movie
00:59:18
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...
- 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.
- And in the work that I've done, - Coded Bias 00:07
- And in the work that I've done,
{\an1}And so that's not just for face classification, - Coded Bias 00:07
{\an1}And so that's not just for face classification,
{\an1}And so people assume, - Coded Bias 00:06
{\an1}And so people assume,
{\an1}- Humans are creating themselves in their own image - Coded Bias 00:05
{\an1}- Humans are creating themselves in their own image
- Absolutely. - Racism is becoming - Coded Bias 00:06
- Absolutely. - Racism is becoming
[dramatic music] - Coded Bias 00:20
[dramatic music]
{\an1}Even if I'm perfectly classified, - Coded Bias 00:06
{\an1}Even if I'm perfectly classified,
{\an8}[foreboding music] - Coded Bias 00:15
{\an8}[foreboding music]
They're sort of explicitly saying, - Coded Bias 00:06
They're sort of explicitly saying,