The Economics of Artificial Intelligence
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The Economics of Artificial Intelligence
A timely investigation of the potential economic effects, both realised and unrealised, of artificial intelligence within the United States healthcare system.
In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry representing nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI.
The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, as well as scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyse barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Series: National Bureau of Economic Research Conference Report
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INFORMATION
ISBN: 9780226833118
Publisher: The University of Chicago Press
Format: Hardback
Date Published: 14 March 2024
Country: United States
Imprint: University of Chicago Press
Illustration: 10 line drawings, 8 tables
Contributors:
- Edited by Joshua Gans
- Edited by Ajay Agrawal
- Edited by Avi Goldfarb
- Edited by Catherine E. Tucker
Audience: Professional and scholarly
DIMENSIONS
Spine width: 23.0mm
Width: 152.0mm
Height: 229.0mm
Weight: 399g
Pages: 192
About the Author
Ajay Agrawal is professor of strategic management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto. Joshua Gans is professor of strategic management and the Jeffrey S. Skoll Chair in Technical Innovation and Entrepreneurship at the University of Toronto. Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and professor of marketing at the University of Toronto. Catherine E. Tucker is the Sloan Distinguished Professor of Management Science at MIT Sloan.
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