Open this publication in new window or tab >>2024 (English)In: YSEC yearbook of socio-economic constitutions 2023: law and the governance of artificial intelligence / [ed] Eduardo Gill-Pedro; Andreas Moberg, Springer Nature, 2024, p. 331-357Chapter in book (Refereed)
Abstract [en]
In constitutional theory, the requirement of necessity is an integral part of a wider proportionality assessment in the limitation of constitutional rights. It fulfils a function of sorting out measures that restrict rights beyond what is required to fulfil the intended purpose. Within data protection, the requirement varies in strictness and interpretation—from ‘ordinary’ necessity to ‘strict necessity’. Recently, the European Court of Justice (ECJ) has introduced what appears to be an even stricter requirement of ‘absolute necessity’ relating to the processing of biometric information under the EU Law Enforcement Directive (LED). In practice, however, the implications of those respective levels of strictness tends to vary, from a strict ‘least restrictive means’ test, to an analysis of whether a measure is necessary for a more effective or a more efficient fulfilment of the intended purpose. In this contribution the principle of necessity as applied by the ECJ is analysed as it pertains to the LED and the Charter, more specifically in the context of implementing AI supported analysis of biometric data. The gradual development of the interpretation of necessity is traced in the data protection case law of the ECJ. The study shows the increased emphasis placed on proportionality over time, highlighting both strengths and potential weaknesses of the requirement in relation to the use of AI supported decision-making in the law enforcement context.
Place, publisher, year, edition, pages
Springer Nature, 2024
Series
YSEC yearbook of socio-economic constitutions, ISSN 2662-7124, E-ISSN 2662-7132 ; 2023
Keywords
Artificial intelligence, AI, biometrics, facial recognition, European law, data protection, law enforcement directive, necessity, proportionality, policing, forensic biometric identification, automated decision-making
National Category
Law (excluding Law and Society)
Research subject
Law; constitutional law; police science
Identifiers
urn:nbn:se:umu:diva-215201 (URN)10.1007/16495_2023_57 (DOI)978-3-031-55831-3 (ISBN)978-3-031-55834-4 (ISBN)978-3-031-55832-0 (ISBN)
Funder
Swedish Research Council, 2020-02278
Note
Correction: Naarttijärvi, M. (2023). Correction to: AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity. In: Gill-Pedro, E., Moberg, A. (eds) YSEC Yearbook of Socio-Economic Constitutions 2023. YSEC Yearbook of Socio-Economic Constitutions, vol 2023. Springer, Cham. DOI: 10.1007/16495_2023_66
Chapter “AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity” was previously published non-open access. It has now been changed to open access under a CC BY 4.0 license and the copyright holder updated to ‘The Author(s)’. The book has also been updated with this change.
2023-10-112023-10-112024-08-13Bibliographically approved