Issues

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perceive, learn and reason in ways that simulate human cognitive abilities. TAP scholars consider AI’s effects on labor, business, policing, law, medicine, war, free speech, privacy and democracy, and discuss potential solutions to mitigate harms.

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TAP Academics

Daron Acemoglu
Massachusetts Institute of Technology
Innovation and Economic Growth, Competition Policy and Antitrust, Artificial Intelligence, Future of Work

Alessandro Acquisti
Carnegie Mellon University
Privacy and Security, Networks, the Internet, and Cloud Computing, Internet, Search and Advertising, Artificial Intelligence

Susan Athey
Stanford University
Competition Policy and Antitrust, Networks, the Internet, and Cloud Computing, Cloud Computing, Internet, Search and Advertising, Media and Content, Artificial Intelligence

James Bessen
Boston University
Innovation and Economic Growth, Intellectual Property, Open Source, Patents, Artificial Intelligence

danah boyd
Microsoft New England Research & Development Center
Privacy and Security, Networks, the Internet, and Cloud Computing, Internet, Artificial Intelligence

Erik Brynjolfsson
Massachusetts Institute of Technology
Innovation and Economic Growth, Competition Policy and Antitrust, Networks, the Internet, and Cloud Computing, Cloud Computing, Internet, Artificial Intelligence, Future of Work

M. Ryan Calo
University of Washington
Privacy and Security, Networks, the Internet, and Cloud Computing, Internet, Artificial Intelligence, Future of Work

Danielle Citron
Boston University
Privacy and Security, Artificial Intelligence

Kate Crawford
Microsoft New England Research & Development Center
Privacy and Security, Networks, the Internet, and Cloud Computing, Internet, Artificial Intelligence

Jon Crowcroft
University of Cambridge
Networks, the Internet, and Cloud Computing, Cloud Computing, Internet, Networks and Infrastructure, Artificial Intelligence

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TAP Blog

Data Literacy Has Become Essential – An Interview with Jonathan Levin

Jonathan Levin, Dean of the Stanford Graduate School of Business, talks about his work on a life-saving economic mechanism to promote vaccines, and the challenges of preparing leaders for the fast-changing future.

TAP Guest Blogger

April 24, 2020

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Upcoming Events

The Future of Work(ers): Using Technology to Empower Workers in the Age of AI and Automation

September 29, 2020, Berkeley, CA

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Fact Sheets

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.

Quote

Some Workers Hate Robots. Retraining May Change That.

"The biggest barrier to getting technology rolled out is the organizational resistance to adoption. So companies need a strategy not only for how to get it to work, but also how to get the work force behind getting it rolled out." — Erik Brynjolfsson, Professor of Economics, MIT

Erik Brynjolfsson
The New York Times
July 19, 2019

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Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security

"Deep fake" technology makes it possible to create audio and video files of real people saying and doing things they never said or did. These technologies create policy and legal problems. Possible responses include technological solutions, criminal and civil liability, and regulation.

By: Danielle Citron, Robert Chesney

June 3, 2019

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