The Economics of Artificial Intelligence: An Agenda by Ajay Agrawal (English) Ha

Description: The Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb 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 FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography Ajay Agrawal is the Peter Munk Professor of Entrepreneurship at the Rotman School of Management, University of Toronto, and a research associate of the NBER. Joshua Gans is professor of strategic management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto (with a cross appointment in the Department of Economics), and a research associate of the NBER. Avi Goldfarb holds the Rotman Chair in Artificial Intelligence and Healthcare and is professor of marketing at the Rotman School of Management, University of Toronto, and a research associate of the NBER. Table of Contents The Economics of Artificial Intelligence: An Agenda Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors Acknowledgements 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 Jeffrey 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 16. Artificial Intelligence, Economics, and Industrial Organization Hal Varian Comment : Judith Chevalier 17. Privacy, Algorithms, and Artificial Intelligence Catherine Tucker 18. Artificial Intelligence and Consumer Privacy Ginger Zhe Jin 19. Artificial Intelligence and International Trade Avi Goldfarb and Daniel Trefler 20. Punishing Robots: Issues in the Economics of Tort Liability and Innovation in Artificial Intelligence Alberto Galasso and Hong Luo IV. Machine Learning and Economics 21. The Impact of Machine Learning on Economics Susan Athey Comment : Mara Lederman 22. Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data Manav Raj and Robert Seamans 23. How Artificial Intelligence and Machine Learning Can Impact Market Design Paul R. Milgrom and Steven Tadelis 24. Artificial Intelligence and Behavioral Economics Colin F. Camerer Comment : Daniel Kahneman Author Index Subject Index Review "The book is a timely contribution to our understanding of how artificial intelligence (AI) as a technology may evolve and how it may exert impacts on the economy and the ways we live, work and think. It convenes 30 leading economists and asks them to foresee how AI will change specific aspects of the economy in which they have expertise, thus scoping out a research agenda for the next 20 years into the economics of AI. This is as if these economists were back to1995 when the internet was about to begin transforming industries and gathered to debate about what would have happened to economic research into that revolution. This approach of amassing forward-looking perspectives of leading economists is unique amongst books on AI and the economy and is therefore highly valuable. Businesses, public policymakers and researchers can all find useful insights from this book."-- "Economic Record""Likely to remain the leading reference in this field for years to come... The book rightly calls itself an agenda as the rapid increase in, and development of, AI applications will require constant reassessment of the implications, costs and benefits. The book does set an agenda and across a large range of issues."-- "Prometheus" Review Quote "The book is a timely contribution to our understanding of how artificial intelligence (AI) as a technology may evolve and how it may exert impacts on the economy and the ways we live, work and think. It convenes 30 leading economists and asks them to foresee how AI will change specific aspects of the economy in which they have expertise, thus scoping out a research agenda for the next 20 years into the economics of AI. This is as if these economists were back to1995 when the internet was about to begin transforming industries and gathered to debate about what would have happened to economic research into that revolution. This approach of amassing forward-looking perspectives of leading economists is unique amongst books on AI and the economy and is therefore highly valuable. Businesses, public policymakers and researchers can all find useful insights from this book." Details ISBN022661333X Year 2019 ISBN-10 022661333X ISBN-13 9780226613338 Format Hardcover Author Avi Goldfarb Language English Imprint University of Chicago Press Subtitle An Agenda Place of Publication Chicago, IL Country of Publication United States Edited by Joshua Gans DEWEY 338.470063 Short Title The Economics of Artificial Intelligence Pages 648 Publication Date 2019-05-22 UK Release Date 2019-05-22 AU Release Date 2019-05-22 NZ Release Date 2019-05-22 US Release Date 2019-05-22 Series (NBER) National Bureau of Economic Research Conference Reports Publisher The University of Chicago Press Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:123398195;

Price: 265.23 AUD

Location: Melbourne

End Time: 2024-11-12T02:08:55.000Z

Shipping Cost: 0 AUD