AI-driven public services and the privacy paradox: do citizens really care about their privacy?

Jurgen Willems, Moritz J. Schmid, Dieter Vanderelst, Dominik Vogel, Falk Ebinger

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Based on privacy calculus theory, we derive hypotheses on the role of perceived usefulness and privacy risks of artificial intelligence (AI) in public services. In a representative vignette experiment (n = 1,048), we asked citizens whether they would download a mobile app to interact in an AI-driven public service. Despite general concerns about privacy, we find that citizens are not susceptible to the amount of personal information they must share, nor to a more anthropomorphic interface. Our results confirm the privacy paradox, which we frame in the literature on the government’s role to safeguard ethical principles, including citizens’ privacy.

Original languageEnglish
Pages (from-to)2116-2134
Number of pages19
JournalPublic Management Review
Volume25
Issue number11
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • AI
  • data privacy
  • privacy paradox
  • vignette experiment
  • virtual agents

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