Law and AI in Hiring: Lessons from the EU on Reconceptualizing Risks and Rights
| dc.contributor.author | Rigotti, Carlotta | |
| dc.contributor.author | Potocka-Sionek, Nastazja | |
| dc.contributor.author | Aloisi, Antonio | |
| dc.contributor.author | Fosch-Villaronga, Eduard | |
| dc.contributor.funder | Horizon Europe | |
| dc.contributor.funder | Ministerio de Cultura e Innovación | |
| dc.contributor.funder | Agencia Estatal de Investigación | |
| dc.contributor.funder | European Union | |
| dc.contributor.ror | https://ror.org/02jjdwm75 | |
| dc.date.accessioned | 2026-05-12T14:14:26Z | |
| dc.date.issued | 2026-03-22 | |
| dc.description.abstract | Artificial 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.peerreviewed | Yes | |
| dc.description.sponsorship | Rigotti 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.status | Published | |
| dc.format | application/pdf | |
| dc.identifier.citation | Rigotti, 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.doi | https://doi.org/10.1177/00197939261429875 | |
| dc.identifier.issn | 2162-271X | |
| dc.identifier.officialurl | https://journals.sagepub.com/doi/10.1177/00197939261429875 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14417/4325 | |
| dc.journal.title | ILR Review | |
| dc.language.iso | eng | |
| dc.publisher | Sage Journals | |
| dc.relation.department | Digital & Tech Law | |
| dc.relation.entity | IE University | |
| dc.relation.projectid | 101070468 | |
| dc.relation.projectid | PID2023-149184OB-C43 | |
| dc.relation.school | IE Law School | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.keywords | AI Act | |
| dc.subject.keywords | hiring | |
| dc.subject.keywords | discrimination | |
| dc.subject.keywords | data protection | |
| dc.subject.keywords | safety | |
| dc.subject.keywords | harmonized standards | |
| dc.subject.keywords | fundamental rights impact assessment | |
| dc.subject.keywords | job applicants | |
| dc.subject.keywords | multi-stakeholder engagement | |
| dc.subject.ods | ODS 16 - Paz, justicia e instituciones sólidas | |
| dc.subject.unesco | 53 Ciencias Económicas | |
| dc.title | Law and AI in Hiring: Lessons from the EU on Reconceptualizing Risks and Rights | |
| dc.type | info:eu-repo/semantics/article | |
| dc.version.type | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 5aecf3e8-490a-434c-985a-16c1835be77c | |
| relation.isAuthorOfPublication.latestForDiscovery | 5aecf3e8-490a-434c-985a-16c1835be77c |
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