The EU AI Act : between the rock of product safety and the hard place of fundamental rights

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dc.contributor.authorALMADA, Marco
dc.contributor.authorPETIT, Nicolas
dc.date.accessioned2025-02-17T17:18:25Z
dc.date.available2025-02-17T17:18:25Z
dc.date.issued2025
dc.descriptionPublished online: February 2025en
dc.description.abstractThe European Union (EU) Artificial Intelligence Act (the AI Act) sets out a hybrid regulatory framework. The AI Act combines two classic traditions of EU law, namely product safety and fundamental rights protection. However, the proposed combination can fail if it does not account for the structural differences between the two legal traditions. This article uses three classical themes of the law and technology literature – the pacing problem, the regulatory lens, and institutional path dependence – to show why the AI Act’s design creates practical and theoretical challenges that will need to be addressed during the Act’s implementation and in future EU legislation.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCommon market law review, 2025, Vol. 62, No. 1, pp. 85-120en
dc.identifier.doi10.54648/COLA2025004
dc.identifier.endpage120en
dc.identifier.issn0165-0750
dc.identifier.issue1en
dc.identifier.startpage85en
dc.identifier.urihttps://hdl.handle.net/1814/78061
dc.identifier.volume62en
dc.language.isoenen
dc.orcid.uploadtrue*
dc.publisherKluwer Law Internationalen
dc.relation.ispartofCommon market law reviewen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectRisk regulation
dc.subjectProduct safety
dc.subjectFundamental rights
dc.subjectEx ante risk specification
dc.subjectPacing problem
dc.titleThe EU AI Act : between the rock of product safety and the hard place of fundamental rightsen
dc.typeArticleen
dspace.entity.typePublication
person.identifier.orcid0000-0002-0127-6549
person.identifier.orcid0000-0001-8185-6000
person.identifier.other45165
person.identifier.other44577
relation.isAuthorOfPublicatione8151de4-90b3-4008-b697-7e739c7a73f9
relation.isAuthorOfPublication66d1ad6c-3c56-4475-9d62-b859f737b3fe
relation.isAuthorOfPublication.latestForDiscoverye8151de4-90b3-4008-b697-7e739c7a73f9
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