Artificial intelligence and its implications for data privacy.

Journal: Current opinion in psychology
PMID:

Abstract

Contemporary, multidisciplinary research sheds light on data privacy implications of artificial intelligence (AI). This review adopts an AI ecosystem perspective and proposes a process-outcome continuum to classify AI technologies; this perspective helps to understand the nuances of AI relative to psychological aspects of privacy decision-making. Specifically, different types of AI affect traditionally studied privacy decision-making frameworks including the privacy calculus, psychological ownership, and social influence in varied ways. By understanding how the process- or outcome-orientation of an AI technology affects privacy decision-making, we explain how AI creates privacy benefits but also poses challenges. Future research is needed across privacy decision-making, but also more generally at the intersection of privacy and AI, to help foster an ethical, sustainable society.

Authors

  • Kelly D Martin
    Tinberg "Business for a Better World" University Professor and Professor of Marketing, Colorado State University, Fort Collins, CO 80523-1278, USA; DFG Research Training Group 2720: "Digital Platform Ecosystems (DPE)", University of Passau, Germany; School of Management Sciences, North-West University, Potchefstroom, South Africa. Electronic address: kelly.martin@colostate.edu.
  • Johanna Zimmermann
    DFG Research Training Group 2720: "Digital Platform Ecosystems (DPE)", University of Passau, Germany; Marketing and Innovation, University of Passau, Innstraße 27, 94032 Passau, Germany. Electronic address: johanna.zimmermann@uni-passau.de.