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Privacy, Algorithms, and Artificial Intelligence

Catherine Tucker


This chapter is a preliminary draft unless otherwise noted. It may not have been subjected to the formal review process of the NBER. This page will be updated as the chapter is revised.

Chapter in forthcoming NBER book The Economics of Artificial Intelligence: An Agenda, Ajay K. Agrawal, Joshua Gans, and Avi Goldfarb, editors
Conference held September 13-14, 2017
Forthcoming from University of Chicago Press

Artificial intelligence can use an individual’s data to make predictions about what they might desire, be influenced by, or do. The use of an individual’s data in this process raises privacy concerns. This article focuses on what is novel about the world of artificial intelligence and privacy, arguing that the chief novelty lies in the potential for data persistence, data repurposing and data spillovers.

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