References
[1]. Watiktinnakorn, C., Seesai, J. and Kerdvibulvech, C. (2023) Blurring the Lines: How AI Is Redefining Artistic Ownership and Copyright. Discover Artificial Intelligence, 3, 37.
[2]. Miernicki, M. and Ng, I. (2021) Artificial Intelligence and Moral Rights. AI & SOCIETY, 36, 319-323.
[3]. Saxena, V., Tamò-Larrieux, A., Van Dijck, G. and Spanakis, G. (2025) Responsible Guidelines for Authorship Attribution Tasks in NLP. Ethics and Information Technology, 27, 16-17.
[4]. Pasetti, M., et al. (2024) Technical, Legal, and Ethical Challenges of Generative Artificial Intelligence: An Analysis of the Governance of Training Data and Copyrights. Discover Artificial Intelligence, 5, 193-198.
[5]. Senftleben, M. (2024) Protection Against Unfair Competition in the European Union: From Divergent National Approaches to Harmonized Rules on Search Result Rankings, Influencers and Greenwashing. Journal of Intellectual Property Law & Practice, 19, 149-157.
[6]. Sun, J. and Jiang, Y. (2023) The “Author” of AI-Generated Content in China: A Legal Quandary in the Making. Journal of Intellectual Property Law & Practice, 18, 801-809.
[7]. Sohn, K. and Kwon, O. (2020) Technology Acceptance Theories and Factors Influencing Artificial Intelligence-Based Intelligent Products. Telematics and Informatics, 47, 101324-101326.
[8]. Guadamuz, A. (2017) Artificial intelligence and copyright. WIPO Magazine, 5, 12-19.
[9]. Wang, T. and Chen, Y. (2024) Exploring Artificial Intelligence Generated Content (AIGC) Applications in the Metaverse: Copyright and Rights Allocation. IET Blockchain, 12, 18-23.
[10]. Henderson, S., Zibarras, L. and Tysome, E. (2024) Who holds the copyright for AI-generated works? A review of the international legal landscape. AI and Ethics, 4, 807-817.