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.

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Copyright Risk Analysis and Mitigation Strategies for AI-Generated Content (AIGC) Works

  • Cheng Chen,
  • Xiao-xi Zheng,
  • Cheng-yong Liu

摘要

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.