The Economics of Artificial Intelligence 1st edition by Ajay Agrawal, Joshua Gans, Avi Goldfarb – Ebook PDF Instant Download/Delivery: 022661333X , 978-0226613338
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ISBN 10: 022661333X
ISBN 13: 978-0226613338
Author: 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.
The Economics of Artificial Intelligence 1st Table of contents:
Introduction
I. AI as a GPT
1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics
Comment: Rebecca Henderson
2. The Technological Elements of Artificial Intelligence
3. Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence
Comment: Andrea Prat
4. The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis
Comment: Matthew Mitchell
5. Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth
6. Artificial Intelligence as the Next GPT: A Political-Economy Perspective
II. Growth, Jobs, and Inequality
7. Artificial Intelligence, Income, Employment, and Meaning
8. Artificial Intelligence, Automation, and Work
9. Artificial Intelligence and Economic Growth
Comment: Patrick Francois
10. Artificial Intelligence and Jobs: The Role of Demand
11. Public Policy in an AI Economy
12. Should We Be Reassured If Automation in the Future Looks Like Automation in the Past?
13. R&D, Structural Transformation, and the Distribution of Income
14. Artificial Intelligence and Its Implications for Income Distribution and Unemployment
15. Neglected Open Questions in the Economics of Artificial Intelligence
III. Machine Learning and Regulation
16. Artificial Intelligence, Economics, and Industrial Organization
Comment: Judith Chevalier
17. Privacy, Algorithms, and Artificial Intelligence
18. Artificial Intelligence and Consumer Privacy
19. Artificial Intelligence and International Trade
20. Punishing Robots: Issues in the Economics of Tort Liability and Innovation in Artificial Intelligence
IV. Machine Learning and Economics
21. The Impact of Machine Learning on Economics
Comment: Mara Lederman
22. Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data
23. How Artificial Intelligence and Machine Learning Can Impact Market Design
24. Artificial Intelligence and Behavioral Economics
Comment: Daniel Kahneman
Notes
Contributors
Author Index
Subject Index
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Tags: Ajay Agrawal, Joshua Gans, Avi Goldfarb, The Economics, Artificial Intelligence