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

A selection of articles recently written by TAP scholars explore AI and the impact on privacy, how to safeguard privacy and security in an interconnected world, digital platforms and antitrust, and patent reform to support innovation.
Take a look at the top viewed blog posts from this past year that have been written by TAP scholars.
George Washington University law professor Daniel Solove provides his list of notable books on privacy and security from 2020.
Brooklyn Law professor Frank Pasquale’s new book, New Laws of Robotics: Defending Human Expertise in the Age of AI, explores the ways that technological advances affect how we work, what media we consume, and how law is made and enforced; and he addresses the problems that arise when robots advance into hospitals, schools, and the military.
In their article, “How to Win with Machine Learning,” Rotman School of Management professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb explain how companies entering industries with an AI-enabled product or service can build a sustainable competitive advantage and raise entry barriers against latecomers.
Economists Susan Athey, Stanford, and Daron Acemoglu, MIT, will be testifying at today’s House Budget Committee hearing on artificial intelligence and the workforce.
This guest post emphasizes that while emerging technologies such as natural language processing and machine learning promise to make public sector services more efficient, they also pose ethical challenges in implementation.
In “The Allocation of Decision Authority to Human and Artificial Intelligence” economists Susan Athey, Kevin Bryan, and Joshua Gans share an analysis of how humans and artificial intelligence could work effectively together in the decision-making process.
A selection of articles recently written by TAP scholars explore AI and business competition, autonomous vehicles, how privacy regulation could support innovation, privacy interfaces focused on peoples’ needs, and licensing standard-essential patents for 5G telecommunications.
MIT economics professor Daron Acemoglu discusses the policies in place that support companies’ choices to increase automation, and he outlines a course of action for policy reforms and technology development that could benefit workers of all skills and backgrounds.
Results 1 - 10 of 53
|< < 1 2 3 4 5 > >|

Fact Sheets

Artificial Intelligence

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

Quote

What Happened to the Deepfake Threat to the Election?

“Deepfake videos and audios could undermine the democratic process by tipping an election.” — Danielle Citron, Professor of Law, Boston University

 

Danielle Citron
Wired
November 16, 2020

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