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International Journal of Frontiers in Sociology, 2025, 7(6); doi: 10.25236/IJFS.2025.070602.

Analysis of Copyright Ownership Issues in AI-Generated Content

Author(s)

Shaohua He

Corresponding Author:
Shaohua He
Affiliation(s)

School of Politics and Law, Xizang University, Lhasa, Xizang, China

Abstract

With the rapid development of information digitization, generative artificial intelligence (AI) represented by ChatGPT, OpenAI, and DeepSeek has been fully integrated into public production and daily life, greatly improving labor productivity. Designing and creating based on AI-generated content has become an indispensable and important means. However, everything has two sides: while AI improves creative efficiency and reshapes the creative ecosystem, the copyright issues behind it have begun to emerge, challenging the traditional copyright law’s core concept of “human intellectual achievements.” Whether AI-generated content enjoys copyright protection and how to determine its ownership has become a focal and difficult issue faced by both academia and practice. This paper systematically analyzes the copyright identification and ownership of AI-generated content, explores judicial practice disputes and opinions through typical cases, and finally proposes legislative suggestions. It is hoped that this paper will serve as a useful starting point to provide certain references for the industry.

Keywords

AI-Generated Content; Copyright Ownership; Originality

Cite This Paper

Shaohua He. Analysis of Copyright Ownership Issues in AI-Generated Content. International Journal of Frontiers in Sociology (2025), Vol. 7, Issue 6: 7-12. https://doi.org/10.25236/IJFS.2025.070602.

References

[1] Jiang Xiaoqi, Zhang Lei, Wang Yunze. Research on the Ownership of Copyright in Generative Artificial Intelligence Content in Academic Dissertations [J]. China Brand & Anti-Counterfeiting, 2025, (08): 80-82.

[2] Zheng Shixian. Research on the Identification of the Responsible Subject for Copyright Infringement in AI-Generated Content [J]. China Price Supervision and Anti-Monopoly, 2025, (07): 125-127.

[3] Wang Zikang, Hou Lu. Copyright Ownership of AI-Generated Content — A Dual-Subject Structure Analysis Based on User Rights [J]. China Brand & Anti-Counterfeiting, 2025, (05): 18-21.

[4] Liu Yihui. Research on the Copyright Management of AI-Generated Content — From the Perspective of the Copyright System Concept [J]. China High-Tech, 2025, (08): 30-33.

[5] He Xingchen. Research on the Attribution of AI-Generated Content in DeepSeek and Its Copyright Ownership [J]. China Brand & Anti-Counterfeiting, 2025, (04): 31-33.