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 language | English |
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Pages (from-to) | 2116-2134 |
Number of pages | 19 |
Journal | Public Management Review |
Volume | 25 |
Issue number | 11 |
DOIs | |
Publication status | Published - 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