Research on the Liability for Copyright Infringement of Generative Artificial Intelligence

This article based on the core framework of the legal system and taking the Copyright Law, the Civil Code and other legal norms as the cornerstone, sys-tematically reveals the application predicaments of traditional legal systems in the context of artificial intelligence. By deeply deconstructing the ambiguous areas of the originality determination standards for works, the expansion dis-putes of the constitutive elements of infringement, and the technical barriers of the causal relationship proof mechanism, and combining the judgment logic of typical judicial cases at home and abroad and the theoretical debates in the aca-demic circle, it conducts a multi-dimensional legal analysis of the legal difficul-ties in the context of artificial intelligence creation. The research re-examines the legal relationships related to the content generated by artificial intelligence from the aspects of the configuration of rights and obligations of the subjects and the division of liability forms, and precisely defines the legal liability boundaries of multiple subjects such as developers, users, and platform opera-tors. At the same time, guided by the theory of interest balance, it takes into ac-count the needs of technological innovation and the goal of copyright protec-tion, and explores a legal regulation path that conforms to the development laws of artificial intelligence. Through the construction of a forward-looking legal theoretical framework, it provides a solution with both theoretical depth and practical value for resolving copyright infringement disputes in the context of generative artificial intelligence, and promotes the formation of a new copyright protection paradigm that adapts to the development of the digital age.

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Publication Details

Journal
Law and Humanities
Published
2025-06-18
DOI
https://doi.org/10.63313/lh.9014
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Liability for Copyright Infringement of Generative Artificial Intelligence

Si Wu
Law and Humanities
Law, AI, and Intellectual Property
article

Research on the Liability for Copyright Infringement of Generative Artificial Intelligence

Si Wu
article en

Abstract

This article based on the core framework of the legal system and taking the Copyright Law, the Civil Code and other legal norms as the cornerstone, sys-tematically reveals the application predicaments of traditional legal systems in the context of artificial intelligence. By deeply deconstructing the ambiguous areas of the originality determination standards for works, the expansion dis-putes of the constitutive elements of infringement, and the technical barriers of the causal relationship proof mechanism, and combining the judgment logic of typical judicial cases at home and abroad and the theoretical debates in the aca-demic circle, it conducts a multi-dimensional legal analysis of the legal difficul-ties in the context of artificial intelligence creation. The research re-examines the legal relationships related to the content generated by artificial intelligence from the aspects of the configuration of rights and obligations of the subjects and the division of liability forms, and precisely defines the legal liability boundaries of multiple subjects such as developers, users, and platform opera-tors. At the same time, guided by the theory of interest balance, it takes into ac-count the needs of technological innovation and the goal of copyright protec-tion, and explores a legal regulation path that conforms to the development laws of artificial intelligence. Through the construction of a forward-looking legal theoretical framework, it provides a solution with both theoretical depth and practical value for resolving copyright infringement disputes in the context of generative artificial intelligence, and promotes the formation of a new copyright protection paradigm that adapts to the development of the digital age.

Law and HumanitiesVol. 1(2)
Anhui University of Finance and Economics (CN)
American Indian Graduate Center
Openalex Percentile: Top 93%
Law, AI, and Intellectual Property
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