GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
This article analyzes the Regional Court of Munich I's decision in the GEMA v. OpenAI case, examining whether training generative AI models on copyrighted works constitutes infringement. The Court held OpenAI liable, finding that AI training creates copyright-relevant reproductions inside g...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:dnet:rdupf_______::73195305ff55a765a2cf99794eb270ad |
| Acceso en línea: | https://hdl.handle.net/10230/72984 http://dx.doi.org/10.1628/jz-2026-0084 |
| Access Level: | acceso abierto |
| Palabra clave: | Intel·ligència artificial -- Dret i legislació Propietat intel·lectual Mineria de dades -- Dret i legislació |
| Sumario: | This article analyzes the Regional Court of Munich I's decision in the GEMA v. OpenAI case, examining whether training generative AI models on copyrighted works constitutes infringement. The Court held OpenAI liable, finding that AI training creates copyright-relevant reproductions inside generative models not sheltered by text and data mining exceptions under EU and German law. The authors explore the ruling's implications, compare current US fair use litigation, and assess both against the background of international copyright law, particularly the Berne Convention's three-step test. |
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