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


On Thursday, February 22, 2018, the Technology Policy Institute hosted an all-day conference featuring nine 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.


8:45 – 9:00 am Welcome Remarks
  • Scott Wallsten, President and Senior Fellow, Technology Policy Institute
9:00 – 10:30 am Algorithms and Decision-Making
  • Discussant: Cleotilde (Coty) Gonzalez, Research Professor, Department of Social and Decision Sciences, Carnegie Mellon University and Founding Director, Dynamic Decision Making Laboratory
10:30 – 10:45 am Coffee break
10:45 am -12:00 pm Macroeconomics and Central Banking
  • Discussant: Sarah Oh, Research Fellow, Technology Policy Institute
12:00 – 1:00 pm Lunch – Fireside Chat
  • Rep. John Delaney (D-MD-6), Co-chair, Congressional AI Committee
  • Kim Hart, Technology Editor, Axios
1:15 – 1:55 pm Autonomous Vehicles
  • Andrew Whinston, Hugh Roy Cullen Centennial Chair in Business Administration, Professor of Information Systems, Computer Science and Economics, John Newton Centennial IC2 Fellow, and Director, Center for Research in Electronic Commerce, University of Texas at Austin:
    Routing for Heterogeneous Autonomous Vehicles
    (Yixuan Liu & Andrew Whinston)
2:00 – 2:40 pm Health
2:45 – 4:20 pm Labor Markets
  • Discussant: Ted To, Research Economist, Bureau of Labor Statistics
4:30 pm Adjorn


Date and Time

  • February 22, 2018
    9:00 am - 5:00 pm


Venue Website:

801 Wharf Street SW, Washington, District of Columbia, 20024, United States