Artificial Intelligence and Consumer Privacy
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.
I am grateful to Ajay Agrawal, Joshua Gans, and Avi Goldfarb for inviting me to contribute to the 2017 NBER Economics of Artificial Intelligence Conference, and to Catherine Tucker, Andrew Stivers and the conference participants for inspiring discussion and comments. All errors are mine. The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research.
Artificial Intelligence and Consumer Privacy, Ginger Zhe Jin. in The Economics of Artificial Intelligence: An Agenda, Agrawal, Gans, and Goldfarb. 2019