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{\an1}Like, why aren't we using that same argument
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Coded Bias

{\an1}Like, why aren't we usingthat same argument, that constitutionalright to due...

{\an1}Like, why aren't we using
that same argument, that constitutional
right to due process, {\an1}to push back against
all sorts of algorithms {\an1}that are invisible to us,
that are black boxes, that are unexplained
but that matter, {\an1}that keep us from, like, {\an1}really important opportunities
in our lives?

Full Transcript

00:00:01.000 --> 00:00:02.976
{\an1}Like, why aren't we using that same argument,
00:00:03.000 --> 00:00:05.976
that constitutional right to due process,
00:00:06.000 --> 00:00:07.976
{\an1}to push back against all sorts of algorithms
00:00:08.000 --> 00:00:10.976
{\an1}that are invisible to us, that are black boxes,
00:00:11.000 --> 00:00:13.976
that are unexplained but that matter,
00:00:14.000 --> 00:00:15.976
{\an1}that keep us from, like,
00:00:16.000 --> 00:00:18.000
{\an1}really important opportunities in our lives?
Duration
18 seconds
Views
27
Timestamp in Movie
00:54:15
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

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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...
{\an1}- Sometimes I misclassify and cannot be questioned. - Coded Bias 00:06
{\an1}- Sometimes I misclassify and cannot be questioned.
I was optimized for efficiency. - Coded Bias 00:06
I was optimized for efficiency.
{\an1}There is no algorithm to define what is just. - Coded Bias 00:05
{\an1}There is no algorithm to define what is just.
[soft tense music] - Coded Bias 00:10
[soft tense music]
The instrument uses an algorithm - Coded Bias 00:11
The instrument uses an algorithm
- The algorithm that kept me up at night - Coded Bias 00:05
- The algorithm that kept me up at night
{\an1}These are algorithms that judges are given - Coded Bias 00:06
{\an1}These are algorithms that judges are given
But then there's the question of fairness, - Coded Bias 00:07
But then there's the question of fairness,
{\an1}- ProPublica published an investigation - Coded Bias 00:08
{\an1}- ProPublica published an investigation
The study found that Black people - Coded Bias 00:11
The study found that Black people
{\an8}[display buzzes] - Coded Bias 00:11
{\an8}[display buzzes]
{\an1}I just got two citations, - Coded Bias 00:11
{\an1}I just got two citations,
{\an7}They were just, like, mentioning - Coded Bias 00:09
{\an7}They were just, like, mentioning
And so I knew that the algorithm decided - Coded Bias 00:05
And so I knew that the algorithm decided
{\an1}- That educated me enough to go back to my PO and be like, - Coded Bias 00:21
{\an1}- That educated me enough to go back to my PO and be l...
{\an1}- And by labeling you high-risk - Coded Bias 00:09
{\an1}- And by labeling you high-risk
{\an1}- That's what hurt the most, - Coded Bias 00:08
{\an1}- That's what hurt the most,
[tense music] - Coded Bias 00:20
[tense music]
{\an1}I started to realize this isn't about my art project - Coded Bias 00:08
{\an1}I started to realize this isn't about my art proj...
{\an1}This is about systems that are governing our lives - Coded Bias 00:06
{\an1}This is about systems that are governing our lives