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{\an7}So for example, if I want a machine to see a face
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Coded Bias

{\an7}So for example, if I wanta machine to see a face, {\an7}I'm going to providemany...

{\an7}So for example, if I want
a machine to see a face, {\an7}I'm going to provide
many examples of faces {\an8}and also things
that aren't faces

Full Transcript

00:00:01.000 --> 00:00:03.976
{\an7}So for example, if I want a machine to see a face,
00:00:04.000 --> 00:00:05.976
{\an7}I'm going to provide many examples of faces
00:00:06.000 --> 00:00:09.000
{\an8}and also things that aren't faces.
Duration
9 seconds
Views
48
Timestamp in Movie
00:03:38
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...
{\an8}I started looking at the data sets themselves, - Coded Bias 00:16
{\an8}I started looking at the data sets themselves,
{\an1}- The 9000 Series is the most reliable computer ever made. - Coded Bias 00:06
{\an1}- The 9000 Series is the most reliable computer ever m...
No 9000 computer has ever made a mistake - Coded Bias 00:06
No 9000 computer has ever made a mistake
{\an1}- A lot of our ideas about AI come from science fiction. - Coded Bias 00:06
{\an1}- A lot of our ideas about AI come from science fictio...
{\an1}It's "The Terminator." - Coded Bias 00:05
{\an1}It's "The Terminator."
{\an1}- It's Commander Data from "Star Trek." - Coded Bias 00:06
{\an1}- It's Commander Data from "Star Trek."
{\an1}- It's C-3PO from "Star Wars." - Coded Bias 00:08
{\an1}- It's C-3PO from "Star Wars."
- It is the robots that take over the world - Coded Bias 00:10
- It is the robots that take over the world
{\an7}What we actually have is we have narrow AI, - Coded Bias 00:08
{\an7}What we actually have is we have narrow AI,
{\an7}We've imbued computers with all of this magical thinking. - Coded Bias 00:06
{\an7}We've imbued computers with all of this magical t...
{\an8}[soft bright music] - Coded Bias 00:20
{\an8}[soft bright music]
{\an1}The people who were at the Dartmouth math department - Coded Bias 00:09
{\an1}The people who were at the Dartmouth math department
{\an1}- In the final hour-long chess match between man and machine, - Coded Bias 00:08
{\an1}- In the final hour-long chess match between man and m...
{\an1}- Intelligence was defined as the ability - Coded Bias 00:08
{\an1}- Intelligence was defined as the ability
{\an1}- As chess world champion Garry Kasparov - Coded Bias 00:08
{\an1}- As chess world champion Garry Kasparov
{\an1}- Of course, intelligence is so much more than that, - Coded Bias 00:06
{\an1}- Of course, intelligence is so much more than that,
Our ideas about technology and society - Coded Bias 00:13
Our ideas about technology and society
{\an1}But the problem is that - Coded Bias 00:10
{\an1}But the problem is that
[dramatic music] - Coded Bias 00:12
[dramatic music]
{\an1}After I had the experience of putting on a white mask - Coded Bias 00:12
{\an1}After I had the experience of putting on a white mask