To watch in HD, get ClipCafe PRO
{\an1}- Ms. Buolamwini, I heard your opening statement
Please log in to add to collections.
Coded Bias

{\an1}- Ms. Buolamwini, I heardyour opening statement, and we saw that these algorithms...

{\an1}- Ms. Buolamwini, I heard
your opening statement, and we saw that these algorithms are effective to
different degrees, so are they most
effective on women?

Full Transcript

00:00:01.000 --> 00:00:02.976
{\an1}- Ms. Buolamwini, I heard your opening statement,
00:00:03.000 --> 00:00:04.976
and we saw that these algorithms
00:00:05.000 --> 00:00:08.976
are effective to different degrees,
00:00:09.000 --> 00:00:10.976
so are they most effective on women?
Duration
11 seconds
Views
20
Timestamp in Movie
01:16:30
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...
- Absolutely not. - Are they most effective - Coded Bias 00:06
- Absolutely not. - Are they most effective
{\an1}- So what demographic is it mostly effective on? - Coded Bias 00:05
{\an1}- So what demographic is it mostly effective on?
{\an7}- So we have a technology - Coded Bias 00:18
{\an7}- So we have a technology
- When it comes to face recognition, - Coded Bias 00:10
- When it comes to face recognition,
{\an7}- How does the FBI get the initial database - Coded Bias 00:05
{\an7}- How does the FBI get the initial database
{\an8}I think, you know, up to 18 states - Coded Bias 00:06
{\an8}I think, you know, up to 18 states
{\an1}I guess what troubles me too, is just the fact that - Coded Bias 00:07
{\an1}I guess what troubles me too, is just the fact that
These 18 states, I think the chairman said, - Coded Bias 00:06
These 18 states, I think the chairman said,
{\an8}- China seems to me to be the dystopian path - Coded Bias 00:08
{\an8}- China seems to me to be the dystopian path
{\an1}- More than China, Facebook has 2.6 billion people, - Coded Bias 00:23
{\an1}- More than China, Facebook has 2.6 billion people,
- This is a patent that they filed, - Coded Bias 00:18
- This is a patent that they filed,
{\an1}All of our hard work, - Coded Bias 00:06
{\an1}All of our hard work,
{\an1}- I wanna show it to my mother. [laughs] - Coded Bias 00:07
{\an1}- I wanna show it to my mother. [laughs]
{\an8}♪♪ - Coded Bias 00:10
{\an8}♪♪
{\an8}So we have a... [audio cuts out] - Coded Bias 00:07
{\an8}So we have a... [audio cuts out]
{\an7}- So what demographic is it mostly effective on? - Coded Bias 00:05
{\an7}- So what demographic is it mostly effective on?
{\an7}And who are the primary engineers and designers - Coded Bias 00:06
{\an7}And who are the primary engineers and designers
{\an7}- Somerville, Massachusetts, - Coded Bias 00:05
{\an7}- Somerville, Massachusetts,
{\an8}- Oakland becomes the third major city to ban - Coded Bias 00:10
{\an8}- Oakland becomes the third major city to ban
{\an1}- At our last tenants' town hall meeting, - Coded Bias 00:13
{\an1}- At our last tenants' town hall meeting,