{"product_id":"the-economics-of-artificial-intelligence-an-agenda-national-bureau-of-economic-research-conference-report-9780226613338","title":"The Economics of Artificial Intelligence: An Agenda (National Bureau of Economic Research Conference Report)","description":"\u003cp\u003eAdvances 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  Collge 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\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":45665868120117,"sku":"ByrdShop_022661333X","price":199.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9780226613338.jpg?v=1782411333","url":"https:\/\/atxbooks.com\/products\/the-economics-of-artificial-intelligence-an-agenda-national-bureau-of-economic-research-conference-report-9780226613338","provider":"ATX Books","version":"1.0","type":"link"}