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Law enforcement or administrative duty?: decoding legal dimensions of fraud profiling in public administration
Umeå University, Faculty of Social Sciences, Department of Law.ORCID iD: 0000-0002-2768-9149
Umeå University, Faculty of Social Sciences, Department of Law.ORCID iD: 0000-0002-4642-3872
2024 (English)In: Administrative justice facing digital transformation / [ed] Angelo Giuseppe Orofino; Julián Valero Torrijos., Aracne editrice, 2024, Vol. 5, no 1, p. 237-256Chapter in book (Refereed)
Abstract [en]

This article examines the integration of data analytics and automated fraud-detection systems within welfare sectors, focusing on the evolving legal landscape in Europe. Throughout Europe, the use of advanced technologies to monitor welfare payments has intensified. However, large-scale data profiling raises significant legal challenges, exemplified by the judicial scrutiny of the Dutch SyRI system, which was found to violate the European Convention on Human Rights and the General Data Protection Regulation (GDPR). This study addresses a pivotal question: whether the use of such systems under EU law constitutes law-enforcement activities or routine administrative operations. This classification impacts the legal framework—GDPR or the Law Enforcement Directive (LED)—governing data processing practices, and influences obligations under the forthcoming EU Artificial Intelligence Act. Through an analysis of European law, including GDPR, LED, the EU Charter of Fundamental Rights, and relevant case law, this article highlights the complexities of this legal demarcation and the potential for conflicting regulatory incentives. Swedish examples are used to illustrate how different legal and institutional setups affect these issues, offering insights into the broader implications for the legality and governance of fraud detection systems.

Place, publisher, year, edition, pages
Aracne editrice, 2024. Vol. 5, no 1, p. 237-256
Series
European Review of Digital Administration & Law, ISSN 2724-5969 ; 2024:5(1)
Keywords [en]
Fraud detection, social securtiy, GDPR, Law enforcement directive, Artificial Intelligence act
National Category
Law
Identifiers
URN: urn:nbn:se:umu:diva-240409DOI: 10.53136/9791221815078 18ISBN: 979-12-218-1507-8 (print)OAI: oai:DiVA.org:umu-240409DiVA, id: diva2:1970420
Funder
Swedish Research Council, 2020-02278Available from: 2025-06-16 Created: 2025-06-16 Last updated: 2025-06-17Bibliographically approved

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Enqvist, LenaNaarttijärvi, Markus

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