TY  - JOUR
AU  - Goldfarb, Avi
AU  - Trefler, Daniel
TI  - AI and International Trade
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 24254
PY  - 2018
Y2  - January 2018
DO  - 10.3386/w24254
UR  - http://www.nber.org/papers/w24254
L1  - http://www.nber.org/papers/w24254.pdf
N1  - Author contact info:
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

Daniel Trefler
Rotman School of Management
University of Toronto
105 St. George Street
Toronto, ON M5S 3E6
CANADA
Tel: 416/946-7945
Fax: 416/978-5433
E-Mail: dtrefler@rotman.utoronto.ca
M1  - published as Avi Goldfarb, Daniel Trefler. "Artificial Intelligence and International Trade," in Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors, "The Economics of Artificial Intelligence: An Agenda" University of Chicago Press (2019)

M3  - presented at "Economics of Artificial Intelligence", September 13-14, 2017
AB  - This paper explores the international dimensions of the economics of artificial intelligence.  Trade theory emphasizes the roles of scale, competition, and knowledge creation and knowledge diffusion as fundamental to comparative advantage. We explore key features of AI with respect to these dimensions and describe the features of an appropriate model of international trade in the context of AI. We then discuss policy implications with respect to investments in research, and behind-the-border regulations such as privacy, data localization, standards, and competition. We conclude by emphasizing that there is still much to learn before we have a comprehensive understanding of how AI will affect trade.
ER  -