Zhuk, Alesia2024-01-082024-01-082023Zhuk A. Navigating the legal landscape of AI copyright: a comparative analysis of EU, US, and Chinese approaches. AI and Ethics. 2023. 8 p. DOI: 10.1007/s43681-023-00299-02730-5953http://hdl.handle.net/10230/58622Data de publicació electrònica: 30 de maig de 2023This paper compares AI copyright approaches in the EU, US, and China, evaluating their effectiveness and challenges. It examines the recognition of AI-generated works as copyrightable and the exclusive rights of copyright owners to reproduce, distribute, publicly display, and perform such works. Differences in approaches, such as recognizing AI as a sui generis right holder in the EU and the broad fair use doctrine in the US, are highlighted. This paper evaluates strengths and weaknesses of each approach, including enforcement and ownership of copyright in AI-generated works, and clarifies issues related to AI and copyright. While the EU and US have more developed legal frameworks for AI copyright than China, all three approaches face challenges that need addressing. This paper concludes by providing insight into the legal landscape of AI copyright and steps necessary for effective protection and use of AI-generated works.application/pdfeng© The Author(s) 2023 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s43681-023-00299-0Artifcial intelligenceCopyright lawIntellectual propertyDigital rightsComparative analysisinfo:eu-repo/semantics/openAccess