Keyword: Auteursrecht
EU copyright law roundup – fourth trimester of 2024 external link
Generative AI and Creative Commons Licences – The Application of Share Alike Obligations to Trained Models, Curated Datasets and AI Output external link
Abstract
This article maps the impact of Share Alike (SA) obligations and copyleft licensing on machine learning, AI training, and AI-generated content. It focuses on the SA component found in some of the Creative Commons (CC) licences, distilling its essential features and layering them onto machine learning and content generation workflows. Based on our analysis, there are three fundamental challenges related to the life cycle of these licences: tracing and establishing copyright-relevant uses during the development phase (training), the interplay of licensing conditions with copyright exceptions and the identification of copyright-protected traces in AI output. Significant problems can arise from several concepts in CC licensing agreements (‘adapted material’ and ‘technical modification’) that could serve as a basis for applying SA conditions to trained models, curated datasets and AI output that can be traced back to CC material used for training purposes. Seeking to transpose Share Alike and copyleft approaches to the world of generative AI, the CC community can only choose between two policy approaches. On the one hand, it can uphold the supremacy of copyright exceptions. In countries and regions that exempt machine-learning processes from the control of copyright holders, this approach leads to far-reaching freedom to use CC resources for AI training purposes. At the same time, it marginalises SA obligations. On the other hand, the CC community can use copyright strategically to extend SA obligations to AI training results and AI output. To achieve this goal, it is necessary to use rights reservation mechanisms, such as the opt-out system available in EU copyright law, and subject the use of CC material in AI training to SA conditions. Following this approach, a tailor-made licence solution can grant AI developers broad freedom to use CC works for training purposes. In exchange for the training permission, however, AI developers would have to accept the obligation to pass on – via a whole chain of contractual obligations – SA conditions to recipients of trained models and end users generating AI output.
Artificial intelligence, Copyright, creative commons, Licensing, machine learning
RIS
Bibtex
Annotatie bij Hof van Justitie EU 9 maart 2021, Hof van Justitie EU 22 juni 2021 & Hoge Raad 27 januari 2023 download
Copyright, the AI Act and extraterritoriality external link
Opinion of the European Copyright Society on CG and YN v Pelham GmbH and Others, Case C-590/23 (Pelham II) external link
Abstract
In its questions for preliminary ruling, the German Federal Court of Justice asked for clarification as regards the definition of pastiche under EU copyright law; and, in essence, whether and how this concept applies to musical sampling. In the present Opinion, the European Copyright Society takes the view that pastiche is an autonomous concept of EU law. Article 5(3)(k) InfoSoc Directive (ISD) should be read as an overarching provision including three forms of permitted use that share their underlying nature but shall be judged differently. The meaning of pastiche cannot be understood as a mere imitation of an artistic style and it need not entail an explicit interaction with the original work. The presence of humour or mockery is not a necessary requirement for the application of the pastiche exception. Also, the expression resulting from the exercise of the pastiche exception need not itself be an original work. Finally, the intention of the user to create pastiche plays no role in the review of the legality of any given use. At the same time, legitimate forms of pastiche need to have their own features that are distinguishable from the copyrighted expression in pre-existing works used as source materials. Overall the use of the pastiche exception for purposes of musical sampling, as in the underlying Metall auf Metall case, complies with all the three steps of Article 5(5) ISD.
Copyright
RIS
Bibtex
Opinion of the European Copyright Society on the CG and YN v Pelham GmbH and Others, Case C-590/23 (Pelham II) external link
Everything is harmonized. The CJEU’s decision in Kwantum v. Vitra external link
Copyright and the Expression Engine: Idea and Expression in AI-Assisted Creations download
Abstract
This essay explores AI-assisted content creation in light of EU and U.S. copyright law. The essay revisits a 2020 study commissioned by the European Commission, which was written before the surge of generative AI. Drawing from traditional legal doctrines, such as the idea/expression dichotomy and its equivalents in Europe, the author argues that iterative prompting may lead to copyright protection of GenAI-assisted output. The paper critiques recent U.S. Copyright Office guidelines that severely restrict registration of works created with the aid of GenAI. Human input, particularly in the conceptual and redaction phases, provides sufficient creative control to justify copyright protection of many AI-assisted works. With many of the expressive features being machine-generated, the scope of copyright protection of such works should, however, remain fairly narrow.
Artificial intelligence, artistic expression, Copyright