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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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Quotes

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
Source: The New York Times
July 19, 2019

The Great Productivity Slowdown

This article asks why the current era of unprecedented innovation is not seeing major gains in productivity. MIT economist and artificial intelligence expert Erik Brynjolfsson is quoted.


Erik Brynjolfsson
Source: Global Finance
June 5, 2019

New Laws of Robotics Needed to Tackle AI: Expert

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.


Frank Pasquale
Source: AFP/ Yahoo News
May 16, 2019

'Disastrous' Lack of Diversity in AI Industry Perpetuates Bias, Study Finds

"The industry has to acknowledge the gravity of the situation and admit that its existing methods have failed to address these problems. The use of AI systems for the classification, detection, and prediction of race and gender is in urgent need of re-evaluation." — Kate Crawford, Co-director and Co-founder, AI Now Institute


Kate Crawford
Source: The Guardian
April 16, 2019

We're Not Prepared for the Promise of Artificial Intelligence, Experts Warn

"We're trying to grapple with big questions that no discipline has monopoly over. What we want to do is make sure we get the greatest minds studying these questions." — Susan Athey, Professor of the Economics of Technology, Stanford Graduate School of Business


Susan Athey
Source: The Mercury News
March 18, 2019

We're Not Prepared for the Promise of Artificial Intelligence, Experts Warn

"The problem is that human skills, human institutions, business processes change much more slowly than technology does. We're not keeping up. That's why this human-centered AI initiative is so important. How can we adapt our economics, our laws, our societies? Otherwise, we're going to be facing more of the unintended consequences." — Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy


Erik Brynjolfsson
Source: The Mercury News
March 18, 2019

Trump’s Plan to Keep America First in AI

"Are they aware enough of its social impacts and thinking about the effects on society and how to address the problems it creates? That’s what we have to watch for." — Ryan Calo, Professor of Law, University of Washington


M. Ryan Calo
Source: Wired
February 11, 2019

Trump to Launch Artificial Intelligence Initiative, But Many Details Lacking

"The White House’s latest executive order correctly highlights AI as a major priority for U.S. policymaking." — Kate Crawford, Co-Director, AI Now


Kate Crawford
Source: Science
February 11, 2019

Trump Calls for Investment in Artificial Intelligence

"The good news is America’s research infrastructure in artificial intelligence is leading the world. But other countries are making much more aggressive investments and rapidly closing the gap, especially China." — Erik Brynjolfsson, Professor of Economics, MIT


Erik Brynjolfsson
Source: AP News
February 11, 2019

Why Business Leaders Shouldn’t Have Blind Faith in AI

"I’ve seen companies blow hundreds of millions of dollars by letting engineers make decisions without the input of business people. Machine learning solves simple problems, but it is not sentient. And it struggles when applied to many business problems." — Susan Athey, Professor of Economics, Stanford Graduate School of Business


Susan Athey
Source: Fast Company
February 6, 2019
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TAP Blog

Earning Stripes in Medical Machine Learning

Harvard business professor Shane Greenstein discusses some of the factors that machine-learning startups consider in developing their innovative products for commercial value.

Shane Greenstein

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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.

Featured Article

Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence

Artificial intelligence (AI) raises the possibility that machines will substitute for humans. AI improves the accuracy of predictions, but when a prediction cannot be made with absolute certainty, judgment is needed to choose the best course of action. Judgment can sometimes be automated.

By: Joshua Gans, Ajay Agrawal, Avi Goldfarb