Drafted by whom? : legal journals in the age of AI
dc.contributor.author | PANOUSOS, Dimitrios | |
dc.date.accessioned | 2025-09-02T07:35:47Z | |
dc.date.available | 2025-09-02T07:35:47Z | |
dc.date.issued | 2025 | |
dc.description.abstract | Artificial Intelligence (AI), and particularly generative AI, has swiftly become a focal point of discourse across disciplines, and the legal discipline is no exception. Often celebrated for its intellectual depth but also criticised for its insularity and traditionalism, the academic (legal) community now faces pressing questions about what it means to be an author, a scholar, and an academic journal in an era of machine-generated text. The EJLS, dedicating this editorial to the use of AI in academic publishing, aligns with a growing movement within the academic (legal and non-legal) publishing world to engage in reflecting and establishing clear guidelines. Such guidelines are increasingly necessary since the use of AI is already reshaping research and publishing practices, yet remains largely unregulated and unevenly addressed across journals. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | European journal of legal studies, 2025, Vol. 17, No. 1, pp. 1-8 | en |
dc.identifier.endpage | 8 | |
dc.identifier.issn | 1973-2937 | |
dc.identifier.issue | 1 | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/1814/93124 | |
dc.identifier.volume | 17 | |
dc.language.iso | en | en |
dc.orcid.upload | TRUE | |
dc.publisher | European University Institute | en |
dc.relation.ispartof | European journal of legal studies | en |
dc.relation.uri | https://ejls.eui.eu/ | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | Drafted by whom? : legal journals in the age of AI | en |
dc.type | Article | en |
dspace.entity.type | Publication | |
person.identifier.orcid | 0009-0009-3455-5593 | |
person.identifier.other | 53120 | |
relation.isAuthorOfPublication | 87881dd8-e889-470d-8e92-612cd273399b | |
relation.isAuthorOfPublication.latestForDiscovery | 87881dd8-e889-470d-8e92-612cd273399b |