To watch in HD, get ClipCafe PRO
{\an1}- This comes after the ACLU
Please log in to add to collections.
Coded Bias

{\an1}- This comes after the ACLU conducted a test {\an1}and found that the facial...

{\an1}- This comes after the ACLU conducted a test {\an1}and found that the facial {\an1}recognition software incorrectly matched {\an1}28 lawmakers with mug shots of {\an1}people who've been arrested, and 11 of those 28 {\an1}were people of color

Full Transcript

00:00:01.000 --> 00:00:02.975
{\an1}- This comes after the ACLU
00:00:02.999 --> 00:00:03.975
conducted a test
00:00:03.999 --> 00:00:04.976
{\an1}and found that the facial
00:00:05.000 --> 00:00:06.975
{\an1}recognition software
00:00:06.999 --> 00:00:07.976
incorrectly matched
00:00:08.000 --> 00:00:09.975
{\an1}28 lawmakers with mug shots of
00:00:09.999 --> 00:00:10.976
{\an1}people who've been arrested,
00:00:11.000 --> 00:00:12.975
and 11 of those 28
00:00:12.999 --> 00:00:14.975
{\an1}were people of color.
Duration
15 seconds
Views
29
Timestamp in Movie
01:11:19
Uploaded
May 26, 2025
Genres
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...