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{\an8}It's just not evenly
distributed, {\an7}and what they tend to mean
when they say that {\an8}is that rich people
get the fancy tools first, {\an7}and then it goes last
to the poor, {\an1}but in fact, what I've found
is the absolute reverse, {\an1}which is the most punitive,
most invasive, {\an1}most surveillance-focused rules
that we have, they go into poor
and working communities first, {\an1}and then if they work after being tested
in this environment where there's
sort of low expectation that people's rights
will be respected, {\an7}then they get ported out
to other communities
distributed, {\an7}and what they tend to mean
when they say that {\an8}is that rich people
get the fancy tools first, {\an7}and then it goes last
to the poor, {\an1}but in fact, what I've found
is the absolute reverse, {\an1}which is the most punitive,
most invasive, {\an1}most surveillance-focused rules
that we have, they go into poor
and working communities first, {\an1}and then if they work after being tested
in this environment where there's
sort of low expectation that people's rights
will be respected, {\an7}then they get ported out
to other communities
Full Transcript
00:00:01.000 --> 00:00:02.976
{\an8}It's just not evenly
distributed,
00:00:03.000 --> 00:00:04.976
{\an7}and what they tend to mean
when they say that
00:00:05.000 --> 00:00:07.976
{\an8}is that rich people
get the fancy tools first,
00:00:08.000 --> 00:00:09.976
{\an7}and then it goes last
to the poor,
00:00:10.000 --> 00:00:11.976
{\an1}but in fact, what I've found
is the absolute reverse,
00:00:12.000 --> 00:00:14.976
{\an1}which is the most punitive,
most invasive,
00:00:15.000 --> 00:00:17.976
{\an1}most surveillance-focused rules
that we have,
00:00:18.000 --> 00:00:20.976
they go into poor
and working communities first,
00:00:21.000 --> 00:00:21.977
{\an1}and then if they work
00:00:22.012 --> 00:00:23.976
after being tested
in this environment
00:00:24.000 --> 00:00:25.976
where there's
sort of low expectation
00:00:26.000 --> 00:00:27.976
that people's rights
will be respected,
00:00:28.000 --> 00:00:32.976
{\an7}then they get ported out
to other communities.
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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...