Economics of Artificial Intelligence.

• Position: Conferences

An NBER conference on Economics of Artificial Intelligence took place in Toronto September 13-14. Research Associates Ajay K. Agrawal, Joshua S. Gans, and Avi Goldfarb of University of Toronto and Catherine Tucker of MIT organized the meeting, which was sponsored by the Alfred P. Sloan Foundation, the Canadian Institute for Advanced Research, and the Creative Destruction Lab. These researchers' papers were presented and discussed:

* Emilio Calvano, Vencenzo Denicolo, and Sergio Pastorello, University of Bologna, and Giacomo Calzolari, European University Institute, "Q-Learning to Cooperate"

* Prasanna Tambe, University of Pennsylvania, "Machine Learning and Domain Knowledge"

* Erik Brynjolfsson, MIT and NBER; Tom Mitchell, Carnegie Mellon University; and Daniel Rock, MIT, "Machine Learning and Occupational Change"

* Anton Korinek, University of Virginia and NBER, "Artificially Intelligent Agents in Our Economy"

* Paul M. Romer, New York University and NBER, "Machine Learning as a 'Wind Tunnel' for Research on Human Learning"

* Edmund S. Phelps, Columbia University, "Two Kinds of Robots in Growth Models: An Introduction"

* Susan Athey, Stanford University and NBER, "Contextual Bandits"

* Matthew Gentzkow, Stanford University and NBER, "Artificial Intelligence, Media, and Fake News"

* Sendhil Mullainathan, University of Chicago and NBER, "Using Machine Learning to Understand Human Decision-Making: Application to Health Care"

* Kathryn L. Shaw, Stanford University and NBER, "AI and Personnel Economics"

* Michael Schwarz, Microsoft, "Open Questions and Research Directions--AI and the Marginal Value of Data"

* James Bessen, Boston University, and Robert Seamans, New York University, "Startups' Use of Data for Artificial Intelligence"

* Joao Guerreiro, Northwestern University; Sergio...