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

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...

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Bibliographic Details
Published in:	Public management review Vol. 25; no. 11; pp. 2116 - 2134
Main Authors:	Willems, Jurgen, Schmid, Moritz J., Vanderelst, Dieter, Vogel, Dominik, Ebinger, Falk
Format:	Journal Article
Language:	English
Published:	Abingdon Routledge 02-11-2023 Taylor & Francis Ltd
Subjects:	Anthropomorphism Artificial intelligence Citizens data privacy Personal information Privacy privacy paradox Public services Usefulness vignette experiment virtual agents
Online Access:	Get full text
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Summary:	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.
ISSN:	1471-9037 1471-9045
DOI:	10.1080/14719037.2022.2063934