Legal Perspective on the Risk of Copyright Infringement by AI-Generated Contents in China

Tong Zhou, Mohamad Rizal Abd Rahman

Abstract


The swift progress of Artificial Intelligence (AI) technology is driving advancements in the internet and cultural sectors, but it also poses challenges to traditional laws, especially copyright law. This article examines the legal complexities associated with AI-generated products and copyright infringement risks in the Chinese internet context. By combining the Copyright Law of the People's Republic of China and analyzing relevant judicial dispute cases in China, this study explores generative artificial intelligence models for generating creative content such as text, images, and music, and introduces their basic technical mechanisms. Focusing on how AI uses existing copyrighted material to generate new works, discuss the issue of attribution of authorship of AI-generated works and its impact on traditional copyright principles. Generative AI is at risk of copyright infringement through the use of machine learning and deep learning technologies to capture data on the Internet for a wide range of creative training. Although China does not have clear legal provisions on copyright ownership and authorship of generative AI, the legal definition of ‘work’ adds a new protective interpretation of generative AI. The study suggests that the loopholes in copyright infringement risks can be closed by improving and reforming China's copyright law, or judicial interpretation of AI, to promote the development of AI technology and keep the law up to date. The comprehensive legal framework not only protects the rights of copyright owners and encourages technological innovation, but also improves China's competitiveness in the global digital economy.


Keywords


Artificial Intelligence; Copyright Infringement; AI-Generated Content; Internet Development; Chinese Legal Framework

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References


Abdikhakimov, I. (2023, June). Unraveling the copyright conundrum: Exploring AI-Generated content and its implications for intellectual property rights. International Conference on Legal Sciences, 1(5), 18-32.

Ballardini, R. M., He, K., & Roos, T. (2019). AI-generated content: authorship and inventorship in the age of artificial intelligence. In R. E. Kolsaker (Ed.), Online distribution of content in the EU (pp. 117-135). Edward Elgar Publishing.

Bi Wenxuan. (2024). Copyright attributes and protection paths for content generated by generative artificial intelligence. Comparative Law Research, 3, 55-71.

Cao, Y., Li, S., Liu, Y., et al. (2023). A comprehensive survey of AI-generated content (AIGC): A history of generative AI from GAN to ChatGPT. arXiv preprint arXiv:2303.04226.

Chu Meng. (2023). Copyright protection of artificial intelligence products from an industrial perspective (English). China Legal Science, 11(6), 110-133.

Craig, C. J. (2021). AI and copyright. Artificial intelligence and the law in Canada. LexisNexis Canada.

Epstein, Z., & Hertzmann, A. (2023). Art and the science of generative AI. Science, 380, 1110-1111. https://doi.org/10.1126/science.adh4451

Gillotte, J. L. (2019). Copyright infringement in AI-generated artworks. UC Davis L. Rev., 53, 2655.

He, T. (2019). The sentimental fools and the fictitious authors: rethinking the copyright issues of AI-generated contents in China. Asia Pacific Law Review, 27(2), 218-238.

Li, R. (2021). A philosophical analysis of AI‐generated works and the copyright law of China. International Journal of Social Science and Education Research, 4(8), 139-143.

Liu Yunkai. Copyright infringement risks and infringement liability allocation of artificial intelligence-generated content. Journal of Xi'an Jiaotong University (Social Science Edition).

Lucchi, N. (2023). ChatGPT: A case study on copyright challenges for generative artificial intelligence systems. European Journal of Risk Regulation, 1-23.

Rubaba, H., Janb, M., Nisarc, K., et al. (2023). Copyright and AI-generated content: A comparative analysis of legal perspectives in China and the United States.

Salami, E. (2021). AI-generated works and copyright law: Towards a union of strange bedfellows. Journal of Intellectual Property Law & Practice, 16(2), 124-135.

Sandiumenge Torres, I. Y. (2023). Copyright implications of the use of generative AI. SSRN.

Selvadurai, N., & Matulionyte, R. (2020). Reconsidering creativity: copyright protection for works generated using artificial intelligence. Journal of Intellectual Property Law & Practice, 15(7), 536-543.

Škiljić, A. (2021). When art meets technology or vice versa: key challenges at the crossroads of AI-generated artworks and copyright law. IIC-International Review of Intellectual Property and Competition Law, 52(10), 1338-1369.

Trapova, A. (2023). Copyright for AI-generated works: A task for the internal market? European Law Review.

Vishnu, S. (2024). Navigating the grey area: Copyright implications of AI generated content. Journal of Intellectual Property Rights (JIPR), 29(2), 103-108.

Wan, Y., & Lu, H. (2021). Copyright protection for AI-generated outputs: The experience from China. Computer Law & Security Review, 42, 105581.

Wei Xiaodong. (2023). Analysis of legal judgment methods on the copyrightability of artificial intelligence generated products. Shengjing Law Review, 13(1), 82-107.

Wu Handong. (2024). On the copyrightability of content generated by artificial intelligence: practice, legal theory and system. China Law Review, 3, 113-129.

Ye, Y., & Adcock, M. (2021). Chinese copyright law and computer-generated works in the era of artificial intelligence. In M. J. Price (Ed.), Algorithmic governance and governance of algorithms: Legal and ethical challenges (pp. 157-167).

Yin Ruigang, et al. (2016). A review of unsupervised learning methods in deep learning. Computer System Applications, 8.

Yu Xiang, & Nie Jianqiang. (2023). Copyright ownership and copyrightability standards for AI-generated products in the United States. Tongfang Knowledge Network (Beijing) Technology Co, 5, 138-148. https://doi.org/10.19685/j.cnki.cn11-2922/n.2023.05.014

Zakir, M. H., Bashir, S., Nisar, K., Ibrahim, S., Khan, N., & Khan, S. H. (2024). Navigating the legal labyrinth: Establishing copyright frameworks for AI-Generated content. Remittances Review, 9(1), 2515-2532.

Zhang Jinping. (2023). On the copyrightability and infringement liability of artificial intelligence generated products. Nanjing Social Sciences, 10, 77-89. https://doi.org/10.15937/j.cnki.issn1001-8263.2023.10.008

Zhang Qi & Zhang Tong. (2024). Copyright risks and regulatory path construction of generative AI products. Internet Weekly, 6, 20-22.

Zhu Ge, Cui Guobin, Wang Qian & Zhang Huyue. (2024). Is artificial intelligence generated content (AIGC) protected by copyright law? China Law Review, 3, 1-28.

Zou Haiyang, Zhao Lu, Yan Long, Bi Mengting & Pu Jiyao. (2024). On the attributes and copyright ownership of AI literary videos. Internet Weekly, 11, 24-27.

Zurth, P. (2020). Artificial creativity? A case against copyright protection for AI-Generated works. UCLA JL & Tech., 25, i.


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