The Research On The Ownership Of Copyright Of AI-generated Content
DOI:
https://doi.org/10.54097/wxs9vv67Keywords:
202111001069 @imut.edu.cnAbstract
Generative Artificial Intelligence (GAI) has significantly enriched society by producing a wide range of high-quality cultural products, offering aesthetic experiences comparable to traditional creations. However, the issue of ownership in legal practice remains ambiguous due to the involvement of multiple creators in the production process. To address this, the copyright granting process can be divided into initial authorization and subsequent rights transfer to delineate the rights of various parties involved. Current theories suggest that the commissioned works model effectively safeguards the interests of all parties by granting initial authorization to the hardware owner of the artificial intelligence while protecting the rights of the AI user through contracts. Moreover, lawmakers should enhance the current copyright law system, emphasize the importance of human involvement in generative artificial intelligence outputs, and establish collaborative mechanisms at the societal level to balance the interests of all parties involved. This approach will provide clarity and fairness in the ownership and distribution of rights associated with AI-generated products.
Downloads
References
Jeong, J.K. Will the U.S.Court judge TDM for artificial intelligence machine learning as fair use?. Korea Copyright Commission, 2023.
Wu Handong. Institutional arrangement and legal regulation in the era of artificial intelligence. Legal Science (Journal of Northwest University of Political Science and Law), 2017, (05): 128-136.
Qi Xiong. Copyright recognition of the content generated by artificial intelligence. Intellectual Property Rights, 2017, (03): 3-8.
Huang Yuye, Sima Hang. The right ownership of AI-generated works from the perspective of breeding. Journal of Henan Normal University (Philosophy and Social Sciences edition), 2018, (04): 23-29.
Xu Mingyue, Tan Ling. On the adjacent right protection of artificial intelligence creation- Theoretical evidence and institutional arrangement. Comparative Method Study, 2018, (06): 42-54.
Xu Xiaoben. The personality element of artificial intelligence "creation". Quest, 2019, (06): 95-102.
Lucchi, N. ChatGPT: A case study on copyright challenges for generative artificial intelligence systems. European Journal of Risk Regulation, 2023.
Zhang Haiyu. Research on computer application software development technology based on artificial intelligence. Software, 2022, (05): 82-84.
Zhu Jiajun. Focuses on the application of ChatGPT. Comparative method study, 2023, (05): 34-54..
Xu Xiaoben. On the copyright availability and copyright ownership of the algorithm creation object. Oriental Law, 2021, (03): 41-55.
Li Weimin. The positive certainty of artificial intelligence achievements in copyright law-is discussed with Professor Wang Qian. Oriental Law, 2018, (03): 149-160.
Xu Xiaoben. The value basis and legal structure of intellectual property damage. Contemporary Law, 2019, (03): 116-125.
Cao Bo. Copyright regulation of content generation assisted by artificial intelligence. Comparative method study, 2024, (01): 76-90.
Liu Yun. On the legal personality system demand and multi-layer response of artificial intelligence. Oriental Law, 2021, (01): 61-73.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






