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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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Economists Susan Athey, Stanford, and Daron Acemoglu, MIT, will be testifying at today’s House Budget Committee hearing on artificial intelligence and the workforce.
This guest post emphasizes that while emerging technologies such as natural language processing and machine learning promise to make public sector services more efficient, they also pose ethical challenges in implementation.
In “The Allocation of Decision Authority to Human and Artificial Intelligence” economists Susan Athey, Kevin Bryan, and Joshua Gans share an analysis of how humans and artificial intelligence could work effectively together in the decision-making process.
A selection of articles recently written by TAP scholars explore AI and business competition, autonomous vehicles, how privacy regulation could support innovation, privacy interfaces focused on peoples’ needs, and licensing standard-essential patents for 5G telecommunications.
MIT economics professor Daron Acemoglu discusses the policies in place that support companies’ choices to increase automation, and he outlines a course of action for policy reforms and technology development that could benefit workers of all skills and backgrounds.
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.
Professor Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy, discusses the impact of rapid technological change and public policy with James Pethokoukis on AEI’s Political Economy podcast.
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.
Five TAP Scholars have been honored with the Future of Privacy Forum’s Privacy Papers for Policymakers Award. Read summaries of the papers selected for this 10th annual award that recognizes leading privacy scholarship relevant to U.S. policymakers.
Take a look at the top viewed blog posts from this past year that have been written by TAP scholars.
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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

Getting the First Amendment Wrong

Clearview AI is wrong about privacy and wrong about the First Amendment. It would have you believe that the moment you post a photo of yourself on Facebook or walk outside your house, you abandon any privacy interest in your image or your whereabouts because they are now “public.” — Woodrow Hartzog, Professor of Law, Northeastern University and Neil Richards, Professor of Law, Washington University
Woodrow Hartzog
Boston Globe
September 4, 2020

Featured Article

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