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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

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
Source: Boston Globe
September 4, 2020

Why Organizations Might Want to Design and Train Less-Than-Perfect AI

“There may be times when—even if the AI can make a better decision than the human—you might still want to let humans be in charge because that motivates them to pay attention.” — Susan Athey, Professor of Economics, Stanford University
Susan Athey
Source: Fast Company
August 5, 2020

Did You Protest Recently? Your Face Might Be in a Database

“Are the police definitely using facial recognition right now to track protesters? Nobody knows.” — Evan Selinger, Professor of Philosophy, Rochester Institute of Technology
Evan Selinger
Source: The Guardian
July 17, 2020

What We Owe Essential Workers

“When technology makes labor critical to the production process, workers’ bargaining power will necessarily increase.” — Daron Acemoglu, Professor of Economocs, MIT
Daron Acemoglu
Source: Project Syndicate
July 6, 2020

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
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TAP Blog

Professors Acemoglu and Athey Share Their Expertise on the Impact of AI on Jobs and the Economy at Today’s Congressional Hearing

Economists Susan Athey, Stanford, and Daron Acemoglu, MIT, will be testifying at today’s House Budget Committee hearing on artificial intelligence and the workforce.

TAP Staff Blogger

Fact Sheets

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.

Featured Article

The Self-Driving Car Generation Gap

For older people, cars are an important symbol of personal freedom, and they are unlikely to embrace self-driving cars; commercial services and millennials will adopt autonomous vehicles first.

By: Braden Allenby