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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Upcoming Events

Artificial Intelligence, the Future of Employment, and the Law

Presented by Silicon Flatirons

April 24, 2020, Online Event

Eighth Annual Conference on Governance of Emerging Technologies & Science (GETS)

A Center for Law, Science & Innovation event

May 27, 2020, Phoenix, AZ

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

Hosted by Haas School of Business, UC Berkeley

September 29, 2020, Berkeley, CA

TAP Blog

Professor Iansiti’s New Book Provides Strategies for Competing in the Age of AI

Competing in the Age of AI, a new book by Harvard business professors Marco Iansiti and Karim R. Lakhani, shows how reinventing organizations around data, analytics, and artificial intelligence (AI) removes traditional constraints that restrict business growth.

TAP Staff Blogger

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

Featured Article

Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass

Artificial intelligence (AI) systems often rely on human workers to classify content. The workers find tasks using on-demand labor platforms like Mechanical Turk, receiving low wages and no benefits; however, on-demand work platforms enable many disadvantaged workers to earn income.

By: Mary L. Gray, Siddharth Suri