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  4. Vol 4, Issue 3, 2025

Copyright Infringement Risks and Responses of Generative Artificial Intelligence

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DOI: 10.23977/law.2025.040304 | Downloads: 5 | Views: 233

Author(s)

Li Zhi 1

Affiliation(s)

1 School of Law/School of Intellectual Property, Guilin University of Electronic Technology, Guilin, China

Corresponding Author

Li Zhi

ABSTRACT

With the rapid development of generative artificial intelligence (AIGC) technology, its wide application in literature, art, music and other fields has raised many copyright infringement issues. The use of a large number of works by AI developers for large model training will bring about copyright infringement risks, but this behavior does not cause damage to the value of the works or the legitimate rights and interests of copyright holders. Based on the goal of promoting digital technology innovation and the development of the artificial intelligence industry, it is necessary to include it in the scope of fair use of copyright. Regarding this point, although there is room for application in the interpretative approach, there are also certain disadvantages. The use of works should be limited to the replication and translation of works in the training stage and should not include the dissemination through information networks. In addition, it is necessary to modify the obligation of attribution to the obligation of AIGC marking. This article starts from the basic concept of generative artificial intelligence, analyzes the possible copyright infringement risks involved in the data collection and content generation stages, and discusses the legislative and judicial practices at home and abroad in response to this issue. On this basis, it puts forward suggestions for improving China's relevant legal system, with the aim of providing legal support for the healthy development of artificial intelligence technology.

KEYWORDS

Generative Artificial Intelligence, Copyright Infringement, Fair Use, Legal Use of Data

CITE THIS PAPER

Li Zhi. Copyright Infringement Risks and Responses of Generative Artificial Intelligence. Science of Law Journal (2025) Vol. 4: 23-32. DOI: http://dx.doi.org/DOI: 10.23977/law.2025.040304.

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