Terminator or the Jetsons? The Economics and Policy Implications of Artificial Intelligence

Terminator or the Jetsons? The Economics and Policy Implications of Artificial Intelligence

Thursday, February 22, 2018
9:00 AM – 5:00 PM

InterContinental DC – Wharf
801 Wharf Street, SW
Algonquian Room
Washington, DC, 20024

On Thursday, February 22nd the Technology Policy Institute will host an all-day conference featuring ten new research papers on the economics and policy implications of artificial intelligence and machine learning.

“Terminator or the Jetsons? The Economics and Policy Implications of Artificial Intelligence” will cover a wide range of topics in depth, including prediction versus judgment and the limits of AI-led prediction; the relationship between AI and wages; using AI to analyze labor markets; AI and machine learning at central banks and in macroeconomic forecasting; algorithms; AI’s use in reducing errors in health care provision; and the effects of AI in the judicial system.


Panel 1 – Algorithms and decision-making

  • Joshua Gans, Skoll Chair of Technical Innovation and Entrepreneurship, Rotman School of Management Rotman School of Management:
    Exploring the Impact of Artificial Intelligence: Prediction Versus Judgment
  • Jeff Prince, Professor and Chairperson, Business Economics & Public Policy, Kelley School Indiana University Bloomington:
    The Limits of AI-Lead Prediction
  • Maja Brkan, Assistant Professor, Faculty of Law, Maastricht University:
    Do Algorithms Rule the World? Algorithmic Decisionmaking and Data Protection in the Framework of the GDRP and Beyond
  • Discussant: Cleotilde Gonzalez, Research Professor, Department of Social and Decision Sciences, Carnegie Mellon University and Founding Director, Dynamic Decision Making Laboratory

Panel 2 – Macroeconomics and Central Banking

  • Andreas Joseph, Research Economist, Advanced Analytics Division, Bank of England:
    Machine Learning at Central Banks
  • Nicolas Woloszko, Junior Economist, OECD-OCDE:
    Forecasting GDP Growth With Machine Learning

Panel 3 – Labor Markets

  • Anton Korinek, Assistant Professor in Economics, Johns Hopkins University:
    Artificially Intelligent Machines: Singularity, the Return of Scarcity, and Human Wages
  • Emilio Colombo, Professor of Economics, Catholic University of Milan:
    Applying ML Tools on Web Vacancies for Labour Markets and Skill Analysis

Panel 4 – How Can AI Improve Society? Medicine, Criminal Justice, and Autonomous Vehicles

  • Miguel Paredes, Director, Center for Advanced Analytics:
    Can AI Reduce Human Medical Errors? A Test Using US and Peruvian ICU Data
  • William Rinehart, Director of Technology and Innovation Policy, American Action Forum:
    An Analysis of Pretrial Risk Assessment Reform
  • Andrew Whinston, Director, Center for Research on Electronic Commerce, McCombs School of Business, University of Texas at Austin:
    Routing for Heterogeneous Autonomous Vehicles

Discussants so far include Sara Oh, Technology Policy Institute and Kim Hart, Managing Editor, Axios.


Event Contact: Ashley Benjamin, 202-828-4405, [email protected]
Press Contact: Chris McGurn, 202-828-4405, [email protected]

The Technology Policy Institute

The Technology Policy Institute is a non-profit research and educational organization that focuses on the economics of innovation, technological change, and related regulation in the United States and around the world. More information is available at https://techpolicyinstitute.org/.

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