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Maybe you have set of compulsive gamblers
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Coded Bias

Maybe you have setof compulsive gamblers, {\an1}and you say, "Here, go find mepeople like...

Maybe you have set
of compulsive gamblers, {\an1}and you say, "Here, go find me
people like that," {\an1}and then your algorithm
can go find people {\an1}who are prone to gambling, and then you could
just be showing them {\an1}discount tickets to Vegas

Full Transcript

00:00:01.000 --> 00:00:02.976
Maybe you have set of compulsive gamblers,
00:00:03.000 --> 00:00:05.976
{\an1}and you say, "Here, go find me people like that,"
00:00:06.000 --> 00:00:07.976
{\an1}and then your algorithm can go find people
00:00:08.000 --> 00:00:10.976
{\an1}who are prone to gambling,
00:00:11.000 --> 00:00:12.976
and then you could just be showing them
00:00:13.000 --> 00:00:15.976
{\an1}discount tickets to Vegas.
Duration
16 seconds
Views
23
Timestamp in Movie
00:35:15
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}In the online world, - Coded Bias 00:12
{\an1}In the online world,
{\an1}Machine learning can find that person by person. - Coded Bias 00:05
{\an1}Machine learning can find that person by person.
In 2010, - Coded Bias 00:08
In 2010,
You either saw, "It's election day" text - Coded Bias 00:16
You either saw, "It's election day" text
So by showing a slight variation just once, - Coded Bias 00:10
So by showing a slight variation just once,
{\an1}One Facebook message shown just once - Coded Bias 00:13
{\an1}One Facebook message shown just once
{\an1}Let's say that there's a politician that's promising - Coded Bias 00:22
{\an1}Let's say that there's a politician that...
{\an1}Maybe with a heavier touch they can swing - Coded Bias 00:12
{\an1}Maybe with a heavier touch they can swing
[low ambient music] - Coded Bias 00:07
[low ambient music]
{\an7}I think about nine years old I saw the Media Lab on TV, - Coded Bias 00:10
{\an7}I think about nine years old I saw the Media Lab on TV...
{\an1}It could smile and move its ears in cute ways, - Coded Bias 00:13
{\an1}It could smile and move its ears in cute ways,
{\an7}I thought you kinda showed up, but here I am now. - Coded Bias 00:05
{\an7}I thought you kinda showed up, but here I am now.
{\an8}[both laugh] - Coded Bias 00:11
{\an8}[both laugh]
{\an1}I wanted to create something - Coded Bias 00:06
{\an1}I wanted to create something
I'm excited about what it could do, - Coded Bias 00:09
I'm excited about what it could do,
{\an1}[soft dramatic music] - Coded Bias 00:17
{\an1}[soft dramatic music]
There were some vulnerabilities - Coded Bias 00:18
There were some vulnerabilities
{\an7}- I [bleep] hate feminists, - Coded Bias 00:05
{\an7}- I [bleep] hate feminists,
{\an7}- It did not take long for internet trolls - Coded Bias 00:06
{\an7}- It did not take long for internet trolls
{\an7}- It's important to note it's not the movie - Coded Bias 00:05
{\an7}- It's important to note it's not the movie