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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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Harvard business professor Shane Greenstein discusses some of the factors that machine-learning startups consider in developing their innovative products for commercial value.
In “Algorithmic Impact Assessments under the GDPR: Producing Multi-layered Explanations”, Colorado Law Professor Margot Kaminski and Gianclaudio Malgieri, Vrije Universiteit Brussel, explore how a Data Protection Impact Assessment (DPIA) links the two faces of the GDPR’s approach to algorithmic accountability: individual rights and systemic collaborative governance.
Numerous colleagues have paid tribute to Professor Ian Kerr over the past month. TAP presents a few of the tributes that express how deeply his friendship, mentoring, scholarship, and zest for life are missed.
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.
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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

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

Artificial Intelligence, Automation, and Work

Automation tends to displace human workers, reducing wages by reducing the demand for labor. But automation also increases productivity and creates new-labor intensive tasks. Several factors constrain the labor market’s capacity to adjust, especially if automation proceeds too quickly.

By: Daron Acemoglu, Pascual Restrepo