The Economics of Artificial Intelligence

The Economics of Artificial Intelligence
By:

Synopsis

Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions.

Contributors:

Daron Acemoglu, Massachusetts Institute of Technology

Philippe Aghion, Collège de France

Ajay Agrawal, University of Toronto

Susan Athey, Stanford University

James Bessen, Boston University School of Law

Erik Brynjolfsson, MIT Sloan School of Management

Colin F. Camerer, California Institute of Technology

Judith Chevalier, Yale School of Management

Iain M. Cockburn, Boston University

Tyler Cowen, George Mason University

Jason Furman, Harvard Kennedy School

Patrick Francois, University of British Columbia

Alberto Galasso, University of Toronto

Joshua Gans, University of Toronto

Avi Goldfarb, University of Toronto

Austan Goolsbee, University of Chicago Booth School of Business

Rebecca Henderson, Harvard Business School

Ginger Zhe Jin, University of Maryland

Benjamin F. Jones, Northwestern University

Charles I. Jones, Stanford University

Daniel Kahneman, Princeton University

Anton Korinek, Johns Hopkins University

Mara Lederman, University of Toronto

Hong Luo, Harvard Business School

John McHale, National University of Ireland

Paul R. Milgrom, Stanford University

Matthew Mitchell, University of Toronto

Alexander Oettl, Georgia Institute of Technology

Andrea Prat, Columbia Business School

Manav Raj, New York University

Pascual Restrepo, Boston University

Daniel Rock, MIT Sloan School of Management

Jeffrey D. Sachs, Columbia University

Robert Seamans, New York University

Scott Stern, MIT Sloan School of Management

Betsey Stevenson, University of Michigan

Joseph E. Stiglitz. Columbia University

Chad Syverson, University of Chicago Booth School of Business

Matt Taddy, University of Chicago Booth School of Business

Steven Tadelis, University of California, Berkeley

Manuel Trajtenberg, Tel Aviv University

Daniel Trefler, University of Toronto

Catherine Tucker, MIT Sloan School of Management

Hal Varian, University of California, Berkeley

కాపీరైట్:
2019 Ajay Agrawal, Joshua Gans, Avi Goldfarb

Book Details

Book Quality:
ISBN-13:
9780226613475
Publisher:
University of Chicago Press
Date of Addition:
భాష:
English
వర్గం:
Business and Finance, Nonfiction,
Usage Restrictions:
This is a copyrighted book.