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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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Privacy law expert Danielle Citron and the University of Maryland Francis King Carey School of Law are hosting a symposium to discuss the full array of implications that “deep fakes” have on our society.
In “Regulating Bot Speech,” University of Washington robotics expert Ryan Calo and Madeline Lamo examine how mandatory disclosure laws that disallow bots to operate unless they identify themselves as non-human might fare under principles of free expression.
Daron Acemoglu, MIT, and Pascual Restrepo, Boston University, argue that AI can be the basis of two types of technological progress: automation and enhancement; and they show that “there is scope for public policy to ensure that resources are allocated optimally between the two in order to ensure fulfillment of AI’s potential for growth, employment, and prosperity.”
A report from Cornell Tech’s Speed Conference shares research in areas of autonomous vehicles, warfare, information security, labor and manufacturing, content moderation, and finance.
danah boyd, Catherine Tucker, and Joseph Turow share essays about their work with artificial intelligence and ethics.
University of Maryland law professor Frank Pasquale discusses concerns with mental health apps being used as digital substitutes for mental health professionals.
Stanford economics professor Susan Athey explains why she believes the field of economics and machine learning is “on the verge of exploding.”
A new article by Danielle Citron and her co-author Robert Chesney provides the first comprehensive survey of the harms caused by “deep fake” technology, and examines the powerful incentives that deep fakes produce for privacy-destructive solutions.
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.
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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

Would Robot Umpires Have Prevented the Wilmer Flores Giants-Dodgers Controversy?

“If the robot can be more objective than an umpire,” he said Friday, “then I think that is good for baseball, especially if fans feel that the robot is objective. ” — James Bessen, Executive Director , Technology & Policy Research Initiative at Boston University’s Law School

James Bessen
The Washington Post
October 15, 2021

Featured Article

AI Systems as State Actors

Governments often use artificial intelligence (AI) systems developed by private firms to make key decisions, but disclaim responsibility for problems with the software.

By: Kate Crawford, Jason Schultz