UDTR — Radar mondial des droits de la Nature

AI and Copyright law in a European law context

Identification

Clé publique

openalex:w6979807789

Auteurs

Ilhama Yelmar Huseynova

Année déclarée

2025

Langue déclarée

en

Type source

dissertation

Première détection

2026-11-09T19:04:47.825420+00:00

Dernière observation des métadonnées

2026-11-09T19:04:47.825420+00:00

Dernière vérification HTTP

Non effectuée

Résumé documentaire — langue originale

This thesis examines how AI-generated works fit within the European Union’s copyright framework and explores alternative legal mechanisms for their protection. With the emergence of generative AI technologies capable of creating content independently, traditional copyright concepts, particularly authorship and originality are being challenged. The thesis begins by outlining the technological basis of AI and generative AI, followed by a discussion of the increasing relevance and value of AI-generated content. It then provides an overview of the EU copyright framework, highlighting that existing law requires human authorship and originality - criteria that AI-generated works typically fail to meet. Subsequent chapters assess whether EU copyright law can be applied to such works and explore potential solutions. These include recognizing AI as a fictional employee, granting it legal personhood, or lowering the originality threshold. While each option has theoretical merit, the thesis identifies significant legal and practical barriers that make them unworkable within the current system. As a more feasible alternative, the thesis proposes the adoption of a new sui generis protection regime for AI-generated works. Extracting from the EU Database Directive, this model would allow protection based on factors such as investment rather than creativity. Key features could include attribution of rights to humans or companies, removal of originality requirement, limited terms of protection, labeling obligations, and regular legal review. Ultimately, the thesis concludes that a sui generis approach offers the most practical and balanced path forward. It would ensure legal clarity and adaptability while keeping the nature of traditional copyright law and supporting the EU’s broader goals for digital innovation and regulation.

Identifiants

OPENALEX

W6979807789

Repères documentaires

Famille documentaire

Thèse

Types déclarés par les sources

dissertation

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1 · Document 2

• Document · http://lup.lub.lu.se/student-papers/record/9199306
• OpenAlex · https://openalex.org/W6979807789

Relations bibliographiques documentées

Références et liens déclarés par les sources ; ils ne constituent pas une preuve juridique ni une qualification UGLC. Affichage limité à 20 références sortantes.

• openalex:w3000385987 · CITES
• Property ownership and the legal personhood of artificial intelligence · CITES

0 références entrantes au sein du corpus détecté

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Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.