To watch in HD, get ClipCafe PRO
Introducing Amazon Rekognition Video
Please log in to add to collections.
Coded Bias

IntroducingAmazon Rekognition Video, {\an1}the easy-to-use API fordeep learning-based...

Introducing
Amazon Rekognition Video, {\an1}the easy-to-use API for
deep learning-based analysis {\an1}to detect, track, and analyze
people and objects in video

Full Transcript

00:00:01.000 --> 00:00:03.976
- Introducing Amazon Rekognition Video,
00:00:04.000 --> 00:00:06.976
{\an1}the easy-to-use API for deep learning-based analysis
00:00:07.000 --> 00:00:10.976
{\an1}to detect, track, and analyze people and objects in video.
Duration
11 seconds
Views
25
Timestamp in Movie
00:41:44
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}Recognize and track persons of interest - Coded Bias 00:07
{\an1}Recognize and track persons of interest
{\an1}- When our research came out, "The New York Times" - Coded Bias 00:07
{\an1}- When our research came out, "The New York Times...
{\an1}And the headline reads, - Coded Bias 00:25
{\an1}And the headline reads,
- People were like, "How did you even, like, - Coded Bias 00:07
- People were like, "How did you even, like,
{\an1}Like, I did... I wasn't able to use a lot of, like, - Coded Bias 00:15
{\an1}Like, I did... I wasn't able to use a lot of, lik...
{\an1}The lead author of the paper, who is somebody that I mentor, - Coded Bias 00:09
{\an1}The lead author of the paper, who is somebody that I m...
[dramatic music] - Coded Bias 00:10
[dramatic music]
{\an1}Amazon has been under fire for the use of - Coded Bias 00:12
{\an1}Amazon has been under fire for the use of
{\an1}So Amazon trialing their AI technology with the FBI. - Coded Bias 00:05
{\an1}So Amazon trialing their AI technology with the FBI.
{\an1}If they knowingly sold systems - Coded Bias 00:10
{\an1}If they knowingly sold systems
[siren wailing] - Coded Bias 00:17
[siren wailing]
So a VP from Amazon, - Coded Bias 00:23
So a VP from Amazon,
{\an1}like, I remember he wrote, - Coded Bias 00:08
{\an1}like, I remember he wrote,
{\an1}- I was gonna say... I was, like, - Coded Bias 00:07
{\an1}- I was gonna say... I was, like,
It wasn't a well thought out piece, - Coded Bias 00:09
It wasn't a well thought out piece,
{\an1}- I don't know if you guys feel this way, - Coded Bias 00:06
{\an1}- I don't know if you guys feel this way,
It's a continuation of the experiences - Coded Bias 00:07
It's a continuation of the experiences
{\an1}Expect your research to be dismissed. - Coded Bias 00:05
{\an1}Expect your research to be dismissed.
[melancholy music] - Coded Bias 00:24
[melancholy music]
So for me, it was disconcerting, - Coded Bias 00:12
So for me, it was disconcerting,