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AI-driven public services and the privacy paradox

Do citizens really care about their privacy

Dados Bibliográficos

ID21723393
AutoresJaap Willems (0000-0002-4439-3948, Institute for Public Management & Governance, Vienna University of Economics and Business, Vienna, Austria, autor correspondente), Moritz J Schmid (Institute for Public Management & Governance, Vienna University of Economics and Business, Vienna, Austria), Dieter Vanderelst (0000-0001-8049-5178, University of Cincinnati), Dominik Vogel (0000-0002-0145-7956, Universität Hamburg), Falk Ebinger (0000-0002-1861-5359, Institute for Public Management & Governance, Vienna University of Economics and Business, Vienna, Austria)
Ano2023
Volume25
Fascículo11
Páginas2116-2134
Data de publicação2023-11-02
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPublic Management Review (JOURNAL)
Identificadores do periódicoISSN: 1471-9037 • E-ISSN: 1471-9045
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/14719037.2022.2063934
OpenAlexW4224132328
IdiomaEN
Citações recebidas43
Referências citadas71

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

Business · Computer security · Download · Information privacy · Internet privacy · Personally identifiable information · Political science · Privacy by Design · Privacy law · Privacy policy · Public relations · Vignette · World Wide Web · Computer Science · Ethics and Social Impacts of AI · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Psychology · Social Psychology

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Obras citantes distintas43
Citações por ano14,33
Intervalo de citações2023 - 2026 (4)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 41
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