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

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

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.

Suggested Citation

  • Jurgen Willems & Moritz J. Schmid & Dieter Vanderelst & Dominik Vogel & Falk Ebinger, 2023. "AI-driven public services and the privacy paradox: do citizens really care about their privacy?," Public Management Review, Taylor & Francis Journals, vol. 25(11), pages 2116-2134, November.
    • Handle: RePEc:taf:rpxmxx:v:25:y:2023:i:11:p:2116-2134
    DOI: 10.1080/14719037.2022.2063934
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