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...

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Detalles Bibliográficos
Autores: Dornis, Tim W., Ginsburg, Jane C., Lucchi, Nicola
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
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spelling GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AIDornis, Tim W.Ginsburg, Jane C.Lucchi, NicolaIntel·ligència artificial -- Dret i legislacióPropietat intel·lectualMineria de dades -- Dret i legislacióThis 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.Mohr Siebeck2026202620262026info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/72984http://dx.doi.org/10.1628/jz-2026-0084reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésJuristen Zeitung JZ. 2026;81(6):235-246© Mohr Siebeck 2026info:eu-repo/semantics/openAccessoai:dnet:rdupf_______::73195305ff55a765a2cf99794eb270ad2026-06-12T07:21:37Z
dc.title.none.fl_str_mv GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
title GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
spellingShingle GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
Dornis, Tim W.
Intel·ligència artificial -- Dret i legislació
Propietat intel·lectual
Mineria de dades -- Dret i legislació
title_short GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
title_full GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
title_fullStr GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
title_full_unstemmed GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
title_sort GEMA v. OpenAI (Munich I Regional Court, 2025): doctrinal, comparative, and international perspectives on copyright and generative AI
dc.creator.none.fl_str_mv Dornis, Tim W.
Ginsburg, Jane C.
Lucchi, Nicola
author Dornis, Tim W.
author_facet Dornis, Tim W.
Ginsburg, Jane C.
Lucchi, Nicola
author_role author
author2 Ginsburg, Jane C.
Lucchi, Nicola
author2_role author
author
dc.subject.none.fl_str_mv Intel·ligència artificial -- Dret i legislació
Propietat intel·lectual
Mineria de dades -- Dret i legislació
topic Intel·ligència artificial -- Dret i legislació
Propietat intel·lectual
Mineria de dades -- Dret i legislació
description 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.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10230/72984
http://dx.doi.org/10.1628/jz-2026-0084
url https://hdl.handle.net/10230/72984
http://dx.doi.org/10.1628/jz-2026-0084
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Juristen Zeitung JZ. 2026;81(6):235-246
dc.rights.none.fl_str_mv © Mohr Siebeck 2026
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Mohr Siebeck 2026
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Mohr Siebeck
publisher.none.fl_str_mv Mohr Siebeck
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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