TY  - JOUR
AU  - Jin, Ginger Zhe
TI  - Artificial Intelligence and Consumer Privacy
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 24253
PY  - 2018
Y2  - January 2018
DO  - 10.3386/w24253
UR  - http://www.nber.org/papers/w24253
L1  - http://www.nber.org/papers/w24253.pdf
N1  - Author contact info:
Ginger Zhe Jin
University of Maryland
Department of Economics
College Park, MD  20742-7211
Tel: 301/405-3484
Fax: 301/405-3542
E-Mail: ginger@umd.edu
M1  - published as Ginger Zhe Jin. "Artificial Intelligence and Consumer Privacy," 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  - Thanks to big data, artificial intelligence (AI) has spurred exciting innovations. In the meantime, AI and big data are reshaping the risk in consumer privacy and data security. In this essay, I first define the nature of the problem and then present a few facts about the ongoing risk. The bulk of the essay describes how the U.S. market copes with the risk in current policy environment. It concludes with key challenges facing researchers and policy makers.
ER  -