Law and AI in Hiring: Lessons from the EU on Reconceptualizing Risks and Rights

dc.contributor.authorRigotti, Carlotta
dc.contributor.authorPotocka-Sionek, Nastazja
dc.contributor.authorAloisi, Antonio
dc.contributor.authorFosch-Villaronga, Eduard
dc.contributor.funderHorizon Europe
dc.contributor.funderMinisterio de Cultura e Innovación
dc.contributor.funderAgencia Estatal de Investigación
dc.contributor.funderEuropean Union
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2026-05-12T14:14:26Z
dc.date.issued2026-03-22
dc.description.abstractArtificial intelligence (AI) is increasingly used to streamline hiring procedures, but it raises concerns about transparency and discrimination. The European Union (EU)’s Artificial Intelligence Act (AIA) is the first broad attempt to regulate AI, using a tiered approach based on levels of risk. This article asks whether and to what extent such an approach can adequately protect job applicants’ fundamental rights. Focusing on the EU as a global reference point, it shows how connecting risk management with rights protection can make regulation more effective. The authors argue that involving affected groups through stakeholder-driven standardization, fundamental rights impact assessments, and co-determination can turn compliance from a box-ticking exercise into meaningful accountability. Placing the AIA within the broader contexts of data protection, equality, and product safety law, the article offers practical lessons for jurisdictions worldwide seeking to align technological innovation with fundamental rights protection.
dc.description.peerreviewedYes
dc.description.sponsorshipRigotti and Fosch-Villaronga are thankful to the Horizon Europe BIAS Project that funded this project and received funding from the European Union with Grant Agreement Number 101070468. Aloisi’s contribution is made within the framework of the project PID2023-149184OB-C43 granted by MCIU / AEI / 10.13039/501100011033 and the FSE+ and forms part of the research activities of the Pérez-Llorca/IE Chair at the IE University Law School.
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationRigotti, C., Potocka-Sionek, N., Aloisi, A., & Fosch-Villaronga, E. (2026). Law and AI in Hiring: Lessons from the EU on Reconceptualizing Risks and Rights. ILR Review, https://doi.org/10.1177/00197939261429875
dc.identifier.doihttps://doi.org/10.1177/00197939261429875
dc.identifier.issn2162-271X
dc.identifier.officialurlhttps://journals.sagepub.com/doi/10.1177/00197939261429875
dc.identifier.urihttps://hdl.handle.net/20.500.14417/4325
dc.journal.titleILR Review
dc.language.isoeng
dc.publisherSage Journals
dc.relation.departmentDigital & Tech Law
dc.relation.entityIE University
dc.relation.projectid101070468
dc.relation.projectidPID2023-149184OB-C43
dc.relation.schoolIE Law School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordsAI Act
dc.subject.keywordshiring
dc.subject.keywordsdiscrimination
dc.subject.keywordsdata protection
dc.subject.keywordssafety
dc.subject.keywordsharmonized standards
dc.subject.keywordsfundamental rights impact assessment
dc.subject.keywordsjob applicants
dc.subject.keywordsmulti-stakeholder engagement
dc.subject.odsODS 16 - Paz, justicia e instituciones sólidas
dc.subject.unesco53 Ciencias Económicas
dc.titleLaw and AI in Hiring: Lessons from the EU on Reconceptualizing Risks and Rights
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication5aecf3e8-490a-434c-985a-16c1835be77c
relation.isAuthorOfPublication.latestForDiscovery5aecf3e8-490a-434c-985a-16c1835be77c

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