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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 Blog

George Washington law professor Daniel Solove discusses several ethical issues connected with the advances of artificial intelligence.
Rotman School of Management economists Joshua Gans, Avi Goldfarb, and Ajay Agrawal discuss how regulatory policy and policies to mitigate potential negative consequences could impact the adoption of AI.
Professors Evan Selinger, Rochester Institute of Technology, and Woodrow Hartzog, Northeastern University, expose the dangers of facial recognition technology.
Harvard economics professor Shane Greenstein provides a grounded sense of the future of automation and machine learning.
In the keynote speech for “re:publica 18,” danah boyd discussed media manipulation, accountability, and strategic silence in our current media ecosystem.
Economists Joshua Gans, Ajay Arawal, and Avi Goldfarb offer strategies to the business world for understanding and evaluating the implications of artificial intelligence on businesses.
During the 7th annual We Robot conference, several TAP scholars participated. Read summaries of papers from Mark Lemley, Ryan Calo, and Ian Kerr.
Legal researchers and computer scientists explore the potential liability for using adversarial machine learning to "trick" robots.
Evan Selinger, philosophy professor at Rochester Institute of Technology, questions if robots should be designed to deserve rights, ‘robot rights’.
Four TAP Scholars have been honored with the Future of Privacy Forum’s Privacy Papers for Policymakers Award. Read summaries of all the papers selected for this 8th annual award that recognizes leading privacy scholarship relevant to U.S. policymakers.
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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

5 Women at the Forefront of Next-Gen Innovation

“Current artificial intelligence systems have been shown to widen asymmetries of power along the lines of gender, race, and economic status.” — Dr. Kate Crawford, Professor of Communication and STS, University of Southern California,

Kate Crawford
Architectural Digest
November 18, 2021

Featured Article

Understanding AI Collusion and Compliance

Artificial intelligence (AI) allows firms to adopt new types of anti-competitive behavior, but may also aid in the detection of such behavior. AI collusion could include non-price elements, such as product reviews and ratings.

By: Daniel Sokol, Justin Johnson