To watch in HD, get ClipCafe PRO
Some lawmakers have
Please log in to add to collections.
Coded Bias

Some lawmakers have {\an1}looked into whether or not {\an1}Amazon could sell this...

Some lawmakers have {\an1}looked into whether or not {\an1}Amazon could sell this {\an1}technology to law enforcement

Full Transcript

00:00:01.000 --> 00:00:01.976
Some lawmakers have
00:00:02.000 --> 00:00:02.976
{\an1}looked into whether or not
00:00:03.000 --> 00:00:03.977
{\an1}Amazon could sell this
00:00:04.003 --> 00:00:07.000
{\an1}technology to law enforcement.
Duration
7 seconds
Views
21
Timestamp in Movie
01:11:33
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...
{\an1}This is a boarding call for - Coded Bias 00:08
{\an1}This is a boarding call for
- Tomorrow I have the opportunity to testify - Coded Bias 00:10
- Tomorrow I have the opportunity to testify
{\an1}[soft ambient music] - Coded Bias 00:15
{\an1}[soft ambient music]
{\an1}Like, actually advising on legislation, that's a first. - Coded Bias 00:05
{\an1}Like, actually advising on legislation, that's a ...
What are some of the major goals - Coded Bias 00:06
What are some of the major goals
{\an8}- So first of all, - Coded Bias 00:11
{\an8}- So first of all,
{\an8}- Right. - And so, you know, - Coded Bias 00:10
{\an8}- Right. - And so, you know,
- And so part of... If I were you, - Coded Bias 00:15
- And so part of... If I were you,
[indistinct chatter] - Coded Bias 00:24
[indistinct chatter]
{\an1}That's when I started to realize algorithmic justice, - Coded Bias 00:14
{\an1}That's when I started to realize algorithmic just...
So for algorithms that have the potential - Coded Bias 00:20
So for algorithms that have the potential
{\an1}"That it's gonna be fair, that it's not gonna be racist, - Coded Bias 00:07
{\an1}"That it's gonna be fair, that it's not...
{\an1}Show me that it's legal before you put it out." - Coded Bias 00:06
{\an1}Show me that it's legal before you put it out.&qu...
Well, I'm here because I wanted to hear - Coded Bias 00:10
Well, I'm here because I wanted to hear
{\an1}One cool thing about seeing Joy - Coded Bias 00:13
{\an1}One cool thing about seeing Joy
{\an1}I'm... I know it's gonna happen - Coded Bias 00:06
{\an1}I'm... I know it's gonna happen
{\an1}[indistinct chatter, laughter] - Coded Bias 00:09
{\an1}[indistinct chatter, laughter]
- Yes. - [laughs] - Coded Bias 00:13
- Yes. - [laughs]
Please stand and raise your right hand, - Coded Bias 00:05
Please stand and raise your right hand,
[solemn music] - Coded Bias 00:07
[solemn music]