Research on the identification of three-party responsible entities for copyright infringement of AI-generated works

LIU Junxi

High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (4) : 122.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (4) : 122.

Research on the identification of three-party responsible entities for copyright infringement of AI-generated works

  • LIU Junxi
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Abstract

The logic of generative AI disrupts tort law’s “human-act-consequence” chain, blurring liability among developers, providers, and users. This paper builds a multi-dimensional framework analyzing subjective intent, causation, and interest-risk balance to allocate direct/indirect, joint/several, and contributory liability, while considering exemptions and mitigating factors. The analysis supports judicial balancing of technological innovation and copyright protection.

Key words

AI infringement / copyright infringement / liability determination / subject identification

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LIU Junxi. Research on the identification of three-party responsible entities for copyright infringement of AI-generated works[J]. High-Technology and Commercialization. 2026, 32(4): 122

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