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{\an7}After a couple years there,
I was like, {\an7}"No, we're just trying to make {\an7}"a lot of money for ourselves, {\an7}and I'm a part of that." {\an7}And I eventually left
I was like, {\an7}"No, we're just trying to make {\an7}"a lot of money for ourselves, {\an7}and I'm a part of that." {\an7}And I eventually left
Full Transcript
00:00:01.000 --> 00:00:01.976
{\an7}After a couple years there,
I was like,
00:00:02.000 --> 00:00:02.977
{\an7}"No, we're just trying to make
00:00:03.989 --> 00:00:05.976
{\an7}"a lot of money for ourselves,
00:00:06.000 --> 00:00:08.976
{\an7}and I'm a part of that."
00:00:09.000 --> 00:00:10.976
{\an7}And I eventually left.
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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...