Join the conversation
Log in or create an account to leave a comment
Log In
{\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.
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...