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.

Back to main Artificial Intelligence page

TAP Blog

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.
Results 51 - 57 of 57
|< < 6 > >|

Fact Sheets

Artificial Intelligence

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


AI Decoded: France’s Risky Dance with Surveillance

“There is no facial recognition component in the current bill. A devil’s advocate could say once it is adopted, things could change.” — Théodore Christakis, Professor of Law, Université Grenoble Alpes
Theodore Christakis
December 2, 2020

Featured Article

Ten Simple Rules for Responsible Big Data Research

Use of big data in academic and industry research is growing. Studies of human psychology, biology, and behavior must be ethical. Researchers should start by recognizing that careless use of data can be harmful.

By: danah boyd, Alondra Nelson, Frank Pasquale, Alyssa Goodman, Kate Crawford, Arvind Narayanan, Barbara Koenig, Emily Keller, Jacob Metcalf, Matthew Zook, Rachelle Hollander, Seeta Peña Gangadharan, Solon Barocas