November 18, 2020– January 21, 2021
A deep dive into the ways algorithms repeat and reinforce the unconscious prejudices of their original programmers.Stephanie Bunbury, The Age
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Meredith Broussard, danah boyd, Valerie E. Taylor, Seyi Olojo, and Eden McEwen
Recorded Thursday, November 19, 6 PM PST
Watch a live conversation and Q&A with data journalist Meredith Broussard, associate professor at the Arthur L. Carter Journalism Institute of New York University and the author of Artificial Unintelligence: How Computers Misunderstand the World; danah boyd, principal researcher at Microsoft Research, founder of Data & Society, and visiting professor at New York University’s Interactive Telecommunications Program; Valerie E. Taylor, director of the Mathematics and Computer Science Division and distinguished fellow at Argonne National Laboratory; and Seyi Olojo, PhD candidate at the UC Berkeley School of Information. Moderated by Eden McEwen, a physics and computer science major at UC Berkeley and a contributor to the student organization STEMinist Chronicles. Access is included with rental of the streaming film program.
The revolutionary research of scientist, artist, and activist Joy Buolamwini proved that the accuracy of commercially available facial recognition software from the likes of Microsoft, IBM, and Amazon declined as soon as it was applied to anyone not male and white. Centering on Buolamwini’s work, Coded Bias explores how the fallibility of artificial intelligence due to the implicit bias of its creators can have damaging real-world consequences. In conversation with Buolamwini and other scientists and activists, including mathematician Cathy O’Neil and Big Brother Watch director Silkie Carlo, the documentary shows how the widespread adoption of machine learning and automated decision making in financial services, human resources, voter registration, and law enforcement makes the racial and gender bias embedded in artificial intelligence an urgent civil rights issue.
- Digital streaming
- 90 mins