Coded Bias (2020)
Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that many facial recognition technologies do not accurately detect darker-skinned faces or classify the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected.
Primary Title
- Coded Bias
Date Broadcast
- 2021
Release Year
- 2020
Duration
- 86:00
Channel
- Media Services
Broadcaster
- The University of Auckland Libraries and Learning Services
Programme Description
- Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that many facial recognition technologies do not accurately detect darker-skinned faces or classify the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected.
Classification
- Unknown
Owning Collection
- Chapman Archive
Broadcast Platform
- Television
Languages
- English
Captioning Languages
- English
Captions
Live Broadcast
- No
Rights Statement
- Made available for the University of Auckland's educational use as permitted by agreement with rights owner.
Subjects
- Human face recognition (Computer science)--Moral and ethical aspects
- Artificial intelligence--Moral and ethical aspects
- Human face recognition (Computer science)--Law and legislation
- Artificial intelligence--Law and legislation
- Computer algorithms--Moral and ethical aspects
- Documentary films--United States
- Documentary films--Great Britain
- Documentary films--China
Genres
- Computers
- Documentary
- Politics
- Science
Contributors
- Shalini Kantayya (Director)
- Shalini Kantayya (Writer)
- Joy Buolamwini (Interviewee)
- Meredith Broussard (Interviewee)
- Cathy O'Neil (Interviewee)
- Silkie Carlo (Interviewee)
- Zeynep Tüfekçi (Interviewee)
- Amy Webb (Interviewee)
- Elijah Cummings (Interviewee)
- Jim Jordan (Interviewee)
- Neema Singh Guliani (Interviewee)
- Jamie Raskin (Interviewee)
- Jenny Jones (Interviewee)
- Alvaro Bedoya (Interviewee)
- Clare Garvie (Interviewee)
- Wei Su (Interviewee)
- Timnit Gebru (Interviewee)
- Shalini Kantayya (Producer)
- Sabine Hoffman (Co-Producer)
- Steve Acevedo (Cinematographer)
- Alexandra Gilwit (Editor)
- Katya Mihailova (Composer)
- Pablo Londero (Graphic Designer)
- Zachary Ludescher (Visual FX Designer)
- 7th Empire Media (Production Unit)
- Women Make Movies (Production Unit)
- Tranae Moran (Interviewee)
Subjects
- Human face recognition (Computer science)--Moral and ethical aspects
- Artificial intelligence--Moral and ethical aspects
- Human face recognition (Computer science)--Law and legislation
- Artificial intelligence--Law and legislation
- Computer algorithms--Moral and ethical aspects
- Documentary films--United States
- Documentary films--Great Britain
- Documentary films--China