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author:

Chen, Cheng (Chen, Cheng.) [1] | Zheng, Xiao-Xi (Zheng, Xiao-Xi.) [2] | Liu, Cheng-Yong (Liu, Cheng-Yong.) [3]

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EI Scopus

Abstract:

The exponential growth of AI-Generated Content (AIGC) technology is awe-inspiring, yet this revolutionary innovation poses significant challenges to established legal frameworks. The swift proliferation of the AIGC market has precipitated an increase in copyright infringements, encompassing violations of reproduction rights, adaptation rights, network information dissemination rights, modification rights, and the right to preserve work integrity. These infringements have emerged as primary obstacles to the sustainable and healthy development of the AIGC industry. This paper aims to address these issues by first elucidating the operational mechanisms of AIGC (focusing on the GAN generative model), subsequently analyzing the copyright risks associated with AIGC works, and ultimately proposing risk mitigation strategies and legal framework enhancements. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2026.

Keyword:

Cell proliferation Copyrights Generative adversarial networks Information dissemination Information systems Information use Laws and legislation Risk analysis Risk assessment

Community:

  • [ 1 ] [Chen, Cheng]Law School, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 2 ] [Zheng, Xiao-Xi]College of Marine Culture and Law, Jimei University, Fujian, Xiamen; 361021, China
  • [ 3 ] [Liu, Cheng-Yong]College of Marine Culture and Law, Jimei University, Fujian, Xiamen; 361021, China

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ISSN: 1867-8211

Year: 2026

Volume: 633 LNICST

Page: 46-54

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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