To watch in HD, get ClipCafe PRO
{\an1}When billions of people went online
Please log in to add to collections.
Coded Bias

{\an1}When billions of peoplewent online, {\an1}and you had the Googlesand the Facebooks...

{\an1}When billions of people
went online, {\an1}and you had the Googles
and the Facebooks {\an1}sitting on giant amounts
of data, {\an1}all of a sudden it turns out that you can feed a lot of data to these machine
learning algorithms, and you can say,
"Here, classify this," {\an1}and it works really well

Full Transcript

00:00:01.000 --> 00:00:02.975
{\an1}When billions of people went online,
00:00:02.999 --> 00:00:03.976
{\an1}and you had the Googles and the Facebooks
00:00:04.000 --> 00:00:06.975
{\an1}sitting on giant amounts of data,
00:00:06.999 --> 00:00:08.975
{\an1}all of a sudden it turns out
00:00:08.999 --> 00:00:10.975
that you can feed a lot of data
00:00:10.999 --> 00:00:12.975
to these machine learning algorithms,
00:00:12.999 --> 00:00:14.975
and you can say, "Here, classify this,"
00:00:14.999 --> 00:00:16.975
{\an1}and it works really well.
Duration
17 seconds
Views
47
Timestamp in Movie
00:17:53
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

Want This Clip in HD?

Upgrade for HD/4K downloads and unlimited access. Upgrade now →

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...
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]
{\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