Title
The Economics of Artificial Intelligence: An Agenda (National Bureau of Economic Research Conference Report),Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
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 stillhypothetical 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 TechnologyPhilippe Aghion, Collge de FranceAjay Agrawal, University of TorontoSusan Athey, Stanford UniversityJames Bessen, Boston University School of LawErik Brynjolfsson, MIT Sloan School of ManagementColin F. Camerer, California Institute of TechnologyJudith Chevalier, Yale School of ManagementIain M. Cockburn, Boston UniversityTyler Cowen, George Mason UniversityJason Furman, Harvard Kennedy SchoolPatrick Francois, University of British ColumbiaAlberto Galasso, University of TorontoJoshua Gans, University of TorontoAvi Goldfarb, University of TorontoAustan Goolsbee, University of Chicago Booth School of BusinessRebecca Henderson, Harvard Business SchoolGinger Zhe Jin, University of MarylandBenjamin F. Jones, Northwestern UniversityCharles I. Jones, Stanford UniversityDaniel Kahneman, Princeton UniversityAnton Korinek, Johns Hopkins UniversityMara Lederman, University of TorontoHong Luo, Harvard Business SchoolJohn McHale, National University of IrelandPaul R. Milgrom, Stanford UniversityMatthew Mitchell, University of TorontoAlexander Oettl, Georgia Institute of TechnologyAndrea Prat, Columbia Business SchoolManav Raj, New York UniversityPascual Restrepo, Boston UniversityDaniel Rock, MIT Sloan School of ManagementJeffrey D. Sachs, Columbia UniversityRobert Seamans, New York UniversityScott Stern, MIT Sloan School of ManagementBetsey Stevenson, University of MichiganJoseph E. Stiglitz. Columbia UniversityChad Syverson, University of Chicago Booth School of BusinessMatt Taddy, University of Chicago Booth School of BusinessSteven Tadelis, University of California, BerkeleyManuel Trajtenberg, Tel Aviv UniversityDaniel Trefler, University of TorontoCatherine Tucker, MIT Sloan School of ManagementHal Varian, University of California, Berkeley
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.