Free The Economics of Artificial Intelligence: An Agenda ((NBER) National Bureau of Economic Research Conference Reports (CHUP))
Description The Economics of Artificial Intelligence: An Agenda ((NBER) National Bureau of Economic Research Conference Reports (CHUP))
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, College 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
The Economics of Artificial Intelligence: An Agenda ((NBER) National Bureau of Economic Research Conference Reports (CHUP)) Ebooks, PDF, ePub
Artificial Intelligence, Economics, and Industrial - NBER ~ Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
The Economics of Artificial Intelligence: An Agenda ~ : The Economics of Artificial Intelligence: An Agenda (National Bureau of Economic Research Conference Report) eBook: Agrawal, Ajay, Gans, Joshua, Goldfarb, Avi: Kindle Store
Artificial Intelligence and Economic Growth / NBER ~ Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
The Economics of Artificial Intelligence: An Agenda ~ The Economics of Artificial Intelligence: An Agenda (National Bureau of Economic Research Conference Report) [Agrawal, Ajay, Gans, Joshua, Goldfarb, Avi] on . *FREE* shipping on qualifying offers. The Economics of Artificial Intelligence: An Agenda (National Bureau of Economic Research Conference Report)
The Economics of Artificial Intelligence: An Agenda by ~ 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.
NBER Books Archive - National Bureau of Economic Research ~ The Economics of Artificial Intelligence: An Agenda, Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors, University of Chicago Press, 2019 Contents Summary and ordering information. The Economics of Poverty Traps, Christopher B. Barrett, Michael R. Carter, and Jean-Paul Chavas, editors, University of Chicago Press, 2019 Contents
Public Policy in an AI Economy / NBER ~ Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
Comment on "Artificial Intelligence and Economic - NBER ~ Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
The Behavioral Economics of Artificial Intelligence ~ "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, January. Gary E. Bolton & Axel Ockenfels, 2005. " The Influence of Information Externalities on the Value of Reputation Building - An Experiment ," Working Paper Series in Economics 17, University of Cologne, Department of Economics.
Robot Economy: Ready or Not, Here It Comes / Request PDF ~ A. Korinek and J. Stiglitz, "Artificial intelligence and its implications for income distribution and unemployment," in The Economics of Artificial Intelligence: An Agenda. National Bureau of .
Philippe Aghion / IDEAS/RePEc ~ "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc. Philippe Aghion & Ufuk Akcigit & Ari Hyytinen & Otto Toivanen, 2017.
Punishing Robots: Issues in the Economics of Tort - NBER ~ Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
Automatisierung, Wachstum und Ungleichheit ~ James Bessen, 2018. "Artificial Intelligence and Jobs: The Role of Demand," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 291-307, National Bureau of Economic Research, Inc. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189 .
(PDF) Assessing the Impact of Basic Research on Society ~ PDF / On Jan 1, 2007, Ben R Martin published Assessing the Impact of Basic Research on Society and the Economy / Find, read and cite all the research you need on ResearchGate
(PDF) Technological unemployment and human disenhancement ~ National Bureau of Economic Research, . more than 80 codes exist for handling ethical risks of artificial intelligence and big data. . we provide a research agenda to address these gaps. View.
The nature of the Artificially Intelligent Firm - An ~ Artificially Intelligent Firms can show a new pattern of principal-agent problems: Unlike a traditional firm, a typical principal-agent setting within an Artificially Intelligent Firm can involve three rather than only two actors (see exhibit 1).These include the firm's human user(s) of AI as a principal, the AI agent, and the provider of the AI agent who is in a dual role.
The Economics and Implications of Data: An Integrated ~ Download Citation / The Economics and Implications of Data: An Integrated Perspective / This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data .
Joseph Stiglitz / IDEAS/RePEc ~ Jump to: Working papers Articles Chapters Books Editorship Working papers. Martin M. Guzman & Joseph E. Stiglitz, 2020. "Towards a Dynamic Disequilibrium Theory with Randomness," NBER Working Papers 27453, National Bureau of Economic Research, Inc. Joseph E. Stiglitz & Jungyoll Yun & Andrew Kosenko, 2020. "Bilateral Information Disclosure in Adverse Selection Markets with Nonexclusive .
Economic patterns in a world with artificial intelligence ~ This article outlines relevant economic patterns in a world with artificial intelligence (AI). Five specific economic patterns influenced by AI are discussed: (1) following in the footsteps of ‘homo economicus’ a new type of agent, ‘machina economica’, enters the stage of the global economy. (2) The pattern of division of labor and specialization is further accelerated by AI-induced .
CCAF annual conference - Cambridge Centre for Alternative ~ The Cambridge Centre for Alternative Finance’s fourth annual Conference Transforming Alternative Finance: Innovation, Trust and Impact, took place on 1 and 2 July 2019 at Cambridge Judge Business School.. Following the successes of our annual conferences in 2016, 2017, and 2018 – the 2019 conference theme reflected the Centre’s global research activities in alternative finance/FinTech .
Microsoft Research Colloquium - Microsoft Research ~ The Microsoft Research Colloquium at Microsoft Research New England focuses on research in the foundational aspects of computer science, mathematics, economics, anthropology, and sociology. With an interdisciplinary flavor, this colloquium series features some of the foremost researchers in their fields talking about their research, breakthroughs, and advances.
Guillermo LaGarda / IDEAS/RePEc ~ Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 89-110, National Bureau of Economic Research, Inc.
Future of Healthcare Week Asia / The Economist Events ~ She earned her PhD in public policy from Harvard University and is a faculty research fellow of the National Bureau of Economic Research (NBER). Her research focuses on government and market roles in the health sector and Asia health policy, especially in China, India, Japan and Korea; health-care productivity; and the economics of the demographic transition.
(PDF) Another Digital Divide: The Rise of Data Realms and ~ Agrawal, Joshua Gans and Avi Goldfarb (eds), The Economics of Artificial Intelligence: An Agenda (Cambridge, MA: National Bureau of Economic Research (NBER), 2018).
Featured Speakers / Robert H. Smith School of Business ~ Her research has been published in economics, management and marketing journals, with support from the National Science Foundation, the Net Institute, and the Sloan Foundation. She is currently co-editor of Journal of Economics and Management Strategy, associate editor of RAND Journal of Economics, and guest senior editor for a special issue of Marketing Science on consumer protection.