The Economics of Artificial Intelligence

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