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{\an8}The guy came out of the station
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Coded Bias

{\an8}The guy came out of the station, {\an7}saw the placards, was like,"Yeah, I agree...

{\an8}The guy came out of the station, {\an7}saw the placards, was like,
"Yeah, I agree with you," {\an8}and walked past here
with his jacket up

Full Transcript

00:00:01.000 --> 00:00:02.976
{\an8}The guy came out of the station,
00:00:03.000 --> 00:00:04.976
{\an7}saw the placards, was like, "Yeah, I agree with you,"
00:00:05.000 --> 00:00:07.976
{\an8}and walked past here with his jacket up.
Duration
8 seconds
Views
45
Timestamp in Movie
00:15:08
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...
{\an7}The police then followed him, said, - Coded Bias 00:06
{\an7}The police then followed him, said,
{\an7}- The man was exercising his right - Coded Bias 00:06
{\an7}- The man was exercising his right
{\an8}[indistinct chatter] - Coded Bias 00:18
{\an8}[indistinct chatter]
If that happens, - Coded Bias 00:06
If that happens,
[light tense music] - Coded Bias 00:14
[light tense music]
[car horn honks] - Coded Bias 00:11
[car horn honks]
{\an1}The tool which has made this possible - Coded Bias 00:10
{\an1}The tool which has made this possible
{\an1}You tell the computer, - Coded Bias 00:09
{\an1}You tell the computer,
{\an8}That way is feeding the computer lots of data, - Coded Bias 00:10
{\an8}That way is feeding the computer lots of data,
{\an1}Now, this method didn't really catch on 'til recently - Coded Bias 00:12
{\an1}Now, this method didn't really catch on 'til...
{\an1}When billions of people went online, - Coded Bias 00:17
{\an1}When billions of people went online,
It has errors that we don't really understand. - Coded Bias 00:05
It has errors that we don't really understand.
{\an1}- So I've been following what's going on in Hong Kong - Coded Bias 00:13
{\an1}- So I've been following what's going on in ...
[dramatic music] - Coded Bias 00:09
[dramatic music]
{\an8}Laser pointers confuse and disable - Coded Bias 00:10
{\an8}Laser pointers confuse and disable
{\an7}[indistinct shouting] - Coded Bias 00:14
{\an7}[indistinct shouting]
{\an1}- Here on the streets of Hong Kong - Coded Bias 00:09
{\an1}- Here on the streets of Hong Kong
There was just this stark symbol - Coded Bias 00:10
There was just this stark symbol
{\an8}This act showed the people of Hong Kong - Coded Bias 00:09
{\an8}This act showed the people of Hong Kong
{\an7}- [indistinct speech] - Coded Bias 00:17
{\an7}- [indistinct speech]