Issues

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

Harvard law professor and cyberlaw expert Jonathan Zittrain discusses the challenges of governing artificial intelligence technology during a Berkman Klein Center luncheon talk.
Boston University law professor Danielle Citron shares how the use of deepfake technology to manipulate video and audio for malicious purposes is becoming a real threat.
In the latest issue of The Toulouse School of Economics Magazine, Stanford economist Susan Athey discusses how machine learning is transforming economics.
Rochester Institute of Technology philosophy professor Evan Selinger and his Future of Privacy Forum colleague Brenda K Leong argue that technology companies “should ensure their ethics boards are guided by universal human rights.”
Frank Pasquale, University of Maryland law professor and artificial intelligence (AI) expert, shares his thoughts on four new legally inspired rules that should be applied to robots and AI in our daily lives.
The Economics of Artificial Intelligence: An Agenda, edited by Rotman School of Management professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, seeks to set the agenda for the economic research on the impact of AI.
Mary Gray and Siddharth Suri’s new book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, explores the lives of people who are paid to train artificial intelligence and serve as “humans in the loop” delivering on-demand information services.
TAP Scholars Danielle Citron, University of Maryland Francis King Carey School of Law, and Ryan Calo, University of Washington, examine the trend of automation in agency decision-making, and find the automation of the administrative state “deeply concerning”.
In their new article, “You Might Be a Robot,” Stanford law professors Mark Lemley and Bryan Casey offer a solution to the challenges of defining and legislating artificial intelligence: “laws should regulate behavior, not things”.
Artificial intelligence scholars Erik Brynjolfsson (MIT) and Kate Crawford (AI Now Institute) react to last week’s Executive Order outlining President Trump’s plan to support the development of artificial intelligence technology.
Results 1 - 10 of 33
|< < 1 2 3 4 > >|

Fact Sheets

There are currently no fact sheets about Artificial Intelligence. Please see fact sheets on other Issues on TAP's media page.

Quote

Some Workers Hate Robots. Retraining May Change That.

"The biggest barrier to getting technology rolled out is the organizational resistance to adoption. So companies need a strategy not only for how to get it to work, but also how to get the work force behind getting it rolled out." — Erik Brynjolfsson, Professor of Economics, MIT

Erik Brynjolfsson
The New York Times
July 19, 2019

Featured Article

Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass

Artificial intelligence (AI) systems often rely on human workers to classify content. The workers find tasks using on-demand labor platforms like Mechanical Turk, receiving low wages and no benefits; however, on-demand work platforms enable many disadvantaged workers to earn income.

By: Mary L. Gray, Siddharth Suri