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Bibliographic Details

Title: The Economics of Artificial Intelligence
Publisher: OUP India
Publication Date: 2019
Language: English
ISBN 10: 0190123265
ISBN 13: 9780190123260
Binding: Soft cover
Edition: International Edition
Condition: New

About this title

Synopsis

Contents: Introduction/Ajay Agrawal, Joshua Gans and Avi Goldfarb. I. AI as a GPT: 1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics/Erik Brynjolfsson, Daniel Rock and Chad Syverson. Comment: Rebecca Henderson. 2. The Technological Elements of Artificial Intelligence/Matt Taddy. 3. Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence/Ajay Agrawal, Joshua Gans and Avi Goldfarb. Comment: Andrea Prat. 4. The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis/Iain M. Cockburn, Rebecca Henderson and Scott Stern. Comment: Matthew Mitchell. 5. Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth/Ajay Agrawal, John McHale and Alexander Oettl. 6. Artificial Intelligence as the Next GPT: A Political-Economy Perspective/Manuel Trajtenberg. II. Growth, Jobs and Inequality: 7. Artificial Intelligence, Income, Employment and Meaning/Betsey Stevenson. 8. Artificial Intelligence, Automation and Work/Daron Acemoglu and Pascual Restrepo. 9. Artificial Intelligence and Economic Growth/Philippe Aghion, Benjamin F. Jones and Charles I. Jones. Comment: Patrick Francois. 10. Artificial Intelligence and Jobs: The Role of Demand/James Bessen. 11. Public Policy in an AI Economy/Austan Goolsbee. 12. Should We Be Reassured If Automation in the Future Looks Like Automation in the Past?/Jason Furman. 13. R&D, Structural Transformation and the Distribution of Income/Jeff Rey D. Sachs. 14. Artificial Intelligence and Its Implications for Income Distribution and Unemployment/Anton Korinek and Joseph E. Stiglitz. 15. Neglected Open Questions in the Economics of Artificial Intelligence/Tyler Cowen. III. Machine Learning and Regulation.

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