TY  - JOUR
AU  - Agrawal, Ajay K
AU  - Gans, Joshua S
AU  - Goldfarb, Avi
TI  - Economic Policy for Artificial Intelligence
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 24690
PY  - 2018
Y2  - June 2018
DO  - 10.3386/w24690
UR  - http://www.nber.org/papers/w24690
L1  - http://www.nber.org/papers/w24690.pdf
N1  - Author contact info:
Ajay K. Agrawal
Rotman School of Management
University of Toronto
105 St. George Street
Toronto, ON M5S 3E6
CANADA
Tel: 416/946-0203
Fax: 416/978-5433
E-Mail: ajay.agrawal@rotman.utoronto.ca

Joshua S. Gans
Rotman School of Management
University of Toronto
105 St. George Street
Toronto ON M5S 3E6
CANADA
Tel: 416/978-3243
E-Mail: joshua.gans@rotman.utoronto.ca

Avi Goldfarb
Rotman School of Management
University of Toronto
105 St. George Street
Toronto, ON M5S 3E6
CANADA
Tel: 416/946-8604
Fax: 416/978-5433
E-Mail: agoldfarb@rotman.utoronto.ca
M1  - published as Ajay Agrawal, Joshua Gans, Avi Goldfarb. "Economic Policy for Artificial Intelligence," in Josh Lerner and Scott Stern, editors, "Innovation Policy and the Economy, Volume 19" University of Chicago Press (2019)

M3  - presented at "Innovation Policy and the Economy 2018", April 17, 2018
AB  - Recent progress in artificial intelligence (AI) – a general purpose technology affecting many industries - has been focused on advances in machine learning, which we recast as a quality-adjusted drop in the price of prediction. How will this sharp drop in price impact society? Policy will influence the impact on two key dimensions: diffusion and consequences. First, in addition to subsidies and IP policy that will influence the diffusion of AI in ways similar to their effect on other technologies, three policy categories - privacy, trade, and liability - may be uniquely salient in their influence on the diffusion patterns of AI. Second, labor and antitrust policies will influence the consequences of AI in terms of employment, inequality, and competition.
ER  -