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Artificial Intelligence and Consumer Privacy

In: The Economics of Artificial Intelligence: An Agenda

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  • Ginger Zhe Jin

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Suggested Citation

  • Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 439-462, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14034
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    File URL: http://www.nber.org/chapters/c14034.pdf
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    References listed on IDEAS

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    1. Yanchao Zhang & Qing Liu & JunJun Cheng & JiJia Yang, 2016. "A State Decision Tree based Backtracking Algorithm for Multi-Sensitive Attribute Privacy Preserving," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 8(2), pages 1-11, April.
    2. Sasha Romanosky & Rahul Telang & Alessandro Acquisti, 2011. "Do data breach disclosure laws reduce identity theft?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 256-286, March.
    3. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    4. Avi Goldfarb & Catherine Tucker, 2012. "Shifts in Privacy Concerns," American Economic Review, American Economic Association, vol. 102(3), pages 349-353, May.
    5. Stigler, George J., 1980. "An Introduction to Privacy in Economics and Politics," Working Papers 10, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    6. Athey, Susan & Catalini, Christian & Tucker, Catherin E., 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," Research Papers 3498, Stanford University, Graduate School of Business.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Verstappen, Ksenia, 2018. "Economics of big data: review of best papers for January 2018," MPRA Paper 85520, University Library of Munich, Germany.
    2. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    3. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.

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    More about this item

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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