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

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

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung


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.
FachzeitschriftPublic Management Review
PublikationsstatusVeröffentlicht - 2022

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102001 Artificial Intelligence
  • 505027 Verwaltungslehre
  • 505002 Datenschutz
  • 211903 Betriebswissenschaften
  • 605005 Publikumsforschung


  • artificial intelligence
  • citizens
  • privacy
  • privacy paradox
  • public
  • public services