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{\an1}- That educated me enough to
go back to my PO and be like, "You mean to tell me
you can't put into account {\an1}"anything positive that I have
done to counteract the results {\an1}of what this algorithm
is saying?" And she was like,
"No, there's no way." {\an1}This computer overruled
the discernment of a judge and a PO together
go back to my PO and be like, "You mean to tell me
you can't put into account {\an1}"anything positive that I have
done to counteract the results {\an1}of what this algorithm
is saying?" And she was like,
"No, there's no way." {\an1}This computer overruled
the discernment of a judge and a PO together
Full Transcript
00:00:01.000 --> 00:00:03.975
{\an1}- That educated me enough to
go back to my PO and be like,
00:00:03.999 --> 00:00:06.975
"You mean to tell me
you can't put into account
00:00:06.999 --> 00:00:09.975
{\an1}"anything positive that I have
done to counteract the results
00:00:09.999 --> 00:00:12.975
{\an1}of what this algorithm
is saying?"
00:00:12.999 --> 00:00:15.975
And she was like,
"No, there's no way."
00:00:15.999 --> 00:00:19.975
{\an1}This computer overruled
the discernment of a judge
00:00:19.999 --> 00:00:20.976
and a PO together.
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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...