Join the conversation
Log in or create an account to leave a comment
Log In
{\an1}[indistinct shouting] {\an1}- The thing I actually fear {\an1}is not that we're gonna go down this totalitarian "1984" model, {\an1}but that we're going to go
down this quiet model {\an1}where we are surveilled {\an1}and socially controlled
and individually nudged {\an1}and measured and classified
in a way that we don't see {\an1}to move us along paths
desired by power
down this quiet model {\an1}where we are surveilled {\an1}and socially controlled
and individually nudged {\an1}and measured and classified
in a way that we don't see {\an1}to move us along paths
desired by power
Full Transcript
00:00:01.000 --> 00:00:04.000
{\an1}[indistinct shouting]
00:00:05.000 --> 00:00:07.976
{\an1}- The thing I actually fear
00:00:08.000 --> 00:00:09.976
{\an1}is not that we're gonna go down
00:00:10.000 --> 00:00:12.976
this totalitarian "1984" model,
00:00:13.000 --> 00:00:16.976
{\an1}but that we're going to go
down this quiet model
00:00:17.000 --> 00:00:18.976
{\an1}where we are surveilled
00:00:19.000 --> 00:00:21.976
{\an1}and socially controlled
and individually nudged
00:00:22.000 --> 00:00:27.976
{\an1}and measured and classified
in a way that we don't see
00:00:28.000 --> 00:00:31.976
{\an1}to move us along paths
desired by power.
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...