Economics of Artificial Intelligence.

An NBER conference on Economics of Artificial Intelligence took place in Toronto September 26-27. Research Associates Ajay K. Agrawal, Joshua S. Gans, and Avi Goldfarb, all of the University of Toronto, and Catherine Tucker of MIT organized the meeting, which was sponsored by the Alfred P. Sloan Foundation and the Creative Destruction Lab. These researchers' papers were presented and discussed:

* Julian Tszkin Chan, Bates White Economic Consulting, and Weifeng Zhong, Mercatus Center at George Mason University, "Reading China: Predicting Policy Change with Machine Learning"

* Joel M. Klinger, Juan C. Mateos-Garcia, and Konstantinos M. Stathoulopoulos, Nesta, "Deep Learning, Deep Change? Mapping the Development of the Artificial Intelligence General Purpose Technology"

* David Autor, MIT and NBER, and Anna M. Salomons, Utrecht University, "New Frontiers: The Evolving Content and Geography of New Work in the 20th Century"

* James Bessen, Boston University; Maarten Goos, London School of Economics; Anna M. Salomons; and Wiljan van den Berge, CPB Netherlands Bureau for Economic Policy Analysis, "Automatic Reaction--What Happens to Workers at Firms that Automate?"

* Mathieu Aubry, Ecole des Ponts ParisTech; Roman Kraussl, University of Luxembourg; Gustavo Manso, University of California, Berkeley; and Christophe Spaenjers, HEC Paris, "Machines and Masterpieces: Predicting Prices in the Art Auction Market"

* Ajay K. Agrawal; John McHale, National University of Ireland; and Alexander Oettl, Georgia Institute of Technology and NBER, "A Model of AI-Aided Scientific Discovery and Innovation"

* Daniel Rock, MIT, "Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence"

* Daniel Bjorkegren, Brown University, and Joshua Blumenstock, University of California, Berkeley, "Manipulation-Proof Machine Learning"

* Mariano-Florentino Cuellar, California Supreme Court and Stanford University; Benjamin Larsen, Copenhagen Business School; and Yong Suk Lee and Michael Webb, Stanford University, "Impact of Artificial Intelligence Regulation on Artificial Intelligence Adoption and Innovation"

* Ansgar Walther and Tarun Ramadorai, Imperial College London; Paul Goldsmith-Pinkham, Yale University; and Andreas Fuster, Swiss National Bank, "Predictably Unequal? The Effect of Machine Learning on Credit Markets"

* Seth G. Benzell, Boston University; Laurence J. Kotlikoff, Boston University and NBER...