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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

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.
MIT’s Erik Brynjolfsson discusses how companies can determine which tasks are best suited to take advantage of machine learning.
In “The Future of Work Might Not Be So Bleak,” Professor Jean Tirole explains why “technology won't eliminate good jobs, but it could exacerbate inequality.”
In a recent Wall Street Journal article, AI Now co-founder Kate Crawford stresses that “digital brains can be just as error-prone and biased as ours.”
How does artificial intelligence intersect with the laws that have been established to govern human interactions? Three recent works by TAP scholars examine whether our laws should apply to robots.
Harvard law professor Urs Gasser explores the importance of trust in the adoption of artificial intelligence technologies.
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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

Complex Questions as Face Recognition Tech Joins Ukraine War

“One of the most well-known problems with facial recognition technology is that it's not perfect, and it will make errors and in some cases those misidentifications can be life changing.” — Eric Goldman, Co-director, High Tech Law Institute, Santa Clara University School of Law

Eric Goldman
Radio France Internationale (RFI)
March 25, 2022

Featured Article

Using Data and Respecting Users

Firms should make ethical choices in using data to avoid souring relationships with users. Three basic guidelines reduce risk and help maintain user trust.

By: Marshall Van Alstyne, Alisa Lenart