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{\an1}- So I've been following what's going on in Hong Kong
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Coded Bias

{\an1}- So I've been followingwhat's going on in Hong Kong {\an1}and how police are using...

{\an1}- So I've been following
what's going on in Hong Kong {\an1}and how police are using facial recognition
to track protesters {\an1}but also how creatively
people are pushing back

Full Transcript

00:00:01.000 --> 00:00:04.976
{\an1}- So I've been following what's going on in Hong Kong
00:00:05.000 --> 00:00:05.977
{\an1}and how police are using
00:00:06.003 --> 00:00:09.976
facial recognition to track protesters
00:00:10.000 --> 00:00:12.976
{\an1}but also how creatively people are pushing back.
Duration
13 seconds
Views
30
Timestamp in Movie
00:18:36
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...
[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]
{\an1}- When you see how facial recognition is being deployed - Coded Bias 00:12
{\an1}- When you see how facial recognition is being deploye...
[bird squawking] - Coded Bias 00:08
[bird squawking]
{\an1}has their face in a facial recognition network - Coded Bias 00:11
{\an1}has their face in a facial recognition network
{\an1}And without safeguards, - Coded Bias 00:12
{\an1}And without safeguards,
People look at what's going on in China - Coded Bias 00:19
People look at what's going on in China
{\an7}AI is being developed along two very, very different tracks. - Coded Bias 00:05
{\an7}AI is being developed along two very, very different t...
{\an1}If a Chinese citizen wants to get Internet service, - Coded Bias 00:08
{\an1}If a Chinese citizen wants to get Internet service,
[cell phone chimes] - Coded Bias 00:08
[cell phone chimes]
Conversely, in the United States, - Coded Bias 00:20
Conversely, in the United States,
[indistinct chatter] - Coded Bias 00:15
[indistinct chatter]
{\an1}- Here at Atlantic Towers, if you do something - Coded Bias 00:11
{\an1}- Here at Atlantic Towers, if you do something
They'll circle you and put your apartment number - Coded Bias 00:07
They'll circle you and put your apartment number
Something about it just doesn't seem right, - Coded Bias 00:07
Something about it just doesn't seem right,