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Prediction Machines, Updated and Expanded
book

Prediction Machines, Updated and Expanded

by Ajay Agrawal, Joshua Gans, Avi Goldfarb
November 2022
Intermediate to advanced
304 pages
7h 4m
English
Harvard Business Review Press
Content preview from Prediction Machines, Updated and Expanded

20

Managing AI Risk

Latanya Sweeney, who was the chief technology officer for the US Federal Trade Commission and is now a professor at Harvard University, was surprised when a colleague Googled her name to find one of her papers and discovered ads suggesting she had been arrested.1 Sweeney clicked on the ad, paid a fee, and learned what she already knew: she had never been arrested. Intrigued, she entered the name of her colleague Adam Tanner, and the same company’s ad appeared but without the suggestion of arrest. After more searching, she developed the hypothesis that maybe black-sounding names were triggering the arrest ad. Sweeney then tested this more systematically and found that if you Googled a black-associated name like Lakisha or ...

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Publisher Resources

ISBN: 9781647824686