NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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The Economics of Artificial Intelligence: An Agenda

Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors

Conference held September 13-14, 2017
Published in May 2019 by University of Chicago Press
© 2019 by the National Bureau of Economic Research

More information on purchasing this book
630 pages
ISBN: 978-0-226-61333-8

Table of Contents

Introduction: Ajay Agrawal, Joshua Gans, Avi Goldfarb (p. 1 - 19) (bibliographic info)
1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics: Erik Brynjolfsson, Daniel Rock, Chad Syverson (p. 23 - 57) (bibliographic info) (Working Paper version)
       Comment: Rebecca Henderson (p. 57 - 59) (bibliographic info)
2. The Technological Elements of Artificial Intelligence: Matt Taddy (p. 61 - 87) (bibliographic info) (Working Paper version)
3. Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence: Ajay Agrawal, Joshua Gans, Avi Goldfarb (p. 89 - 110) (bibliographic info)
       Comment: Andrea Prat (p. 110 - 114) (bibliographic info)
4. The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis: Iain M. Cockburn, Rebecca Henderson, Scott Stern (p. 115 - 146) (bibliographic info) (Working Paper version)
       Comment: Matthew Mitchell (p. 146 - 148) (bibliographic info)
5. Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth: Ajay Agrawal, John McHale, Alexander Oettl (p. 149 - 174) (bibliographic info) (Working Paper version)
6. Artificial Intelligence as the Next GPT: A Political-Economy Perspective: Manuel Trajtenberg (p. 175 - 186) (bibliographic info) (Working Paper version)
7. Artificial Intelligence, Income, Employment, and Meaning: Betsey Stevenson (p. 189 - 195) (bibliographic info)
8. Artificial Intelligence, Automation, and Work: Daron Acemoglu, Pascual Restrepo (p. 197 - 236) (bibliographic info)
9. Artificial Intelligence and Economic Growth: Philippe Aghion, Benjamin F. Jones, Charles I. Jones (p. 237 - 282) (bibliographic info) (Working Paper version)
       Comment: Patrick Francois (p. 282 - 289) (bibliographic info)
10. Artificial Intelligence and Jobs: The Role of Demand: James Bessen (p. 291 - 307) (bibliographic info) (Working Paper version)
11. Public Policy in an AI Economy: Austan Goolsbee (p. 309 - 316) (bibliographic info) (Working Paper version)
12. Should We Be Reassured If Automation in the Future Looks Like Automation in the Past?: Jason Furman (p. 317 - 328) (bibliographic info)
13. R&D, Structural Transformation, and the Distribution of Income: Jeffrey D. Sachs (p. 329 - 348) (bibliographic info)
14. Artificial Intelligence and Its Implications for Income Distribution and Unemployment: Anton Korinek, Joseph E. Stiglitz (p. 349 - 390) (bibliographic info) (Working Paper version)
15. Neglected Open Questions in the Economics of Artificial Intelligence: Tyler Cowen (p. 391 - 395) (bibliographic info)
16. Artificial Intelligence, Economics, and Industrial Organization: Hal Varian (p. 399 - 419) (bibliographic info) (Working Paper version)
       Comment: Judith Chevalier (p. 419 - 422) (bibliographic info)
17. Privacy, Algorithms, and Artificial Intelligence: Catherine Tucker (p. 423 - 437) (bibliographic info)
18. Artificial Intelligence and Consumer Privacy: Ginger Zhe Jin (p. 439 - 462) (bibliographic info) (Working Paper version)
19. Artificial Intelligence and International Trade: Avi Goldfarb, Daniel Trefler (p. 463 - 492) (bibliographic info) (Working Paper version)
20. Punishing Robots: Issues in the Economics of Tort Liability and Innovation in Artificial Intelligence: Alberto Galasso, Hong Luo (p. 493 - 504) (bibliographic info)
21. The Impact of Machine Learning on Economics: Susan Athey (p. 507 - 547) (bibliographic info)
       Comment: Mara Lederman (p. 548 - 551) (bibliographic info)
22. Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data: Manav Raj, Robert Seamans (p. 553 - 565) (bibliographic info)
23. How Artificial Intelligence and Machine Learning Can Impact Market Design: Paul R. Milgrom, Steven Tadelis (p. 567 - 585) (bibliographic info) (Working Paper version)
24. Artificial Intelligence and Behavioral Economics: Colin F. Camerer (p. 587 - 608) (bibliographic info)
       Comment: Daniel Kahneman (p. 608 - 610) (bibliographic info)
 
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