Unlike the traditional network copyright infringement model, the copyright infringement model of Generative Artificial Intelligence is more complex. In this model, the infringing subject cannot be simply defined as direct infringement or indirect infringement. For network users, if they consciously input instructions to guide the generation of infringing content, the principle of fault liability should be adopted. For the providers of Generative Artificial Intelligence services, their copyright infringement behavior does not match the concept of fault in the principle of fault liability, and as the weaker party, network users often have difficulty in providing evidence. Even if the principle of presumed fault can alleviate the difficulty of providing evidence, the fundamental issue of "whether there is fault or not" has not been solved. The determination of the provider's fault is contrary to the objective fact that the provider cannot foresee and control the generation of infringing content. Therefore, it is more appropriate to adopt the principle of no-fault liability for the providers of Generative Artificial Intelligence services in the attribution of copyright infringement liability.

Chen Yinfei. Liability Principles for Copyright Infringement of Generative Artificial Intelligence. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 1: 66-72. https://doi.org/10.25236/FSST.2025.070111.

[1] Wang Liming(2023). Legal response to Generative Artificial Intelligence infringement. China Review of Administration of Justice, (05), 32-33.

[2] Xu Wei(2024). Discussion on tort liability principle of Generative Artificial Intelligence service provider. Law and Social Development,(03), 190-204.

[3] Zhu Xiaojuan(2024). On the censorship obligation of Internet service providers to infringement notices. Political Science and Law, (06), 128-144.

[4] Cheng Sumei & Gao Shiyu(2024). Should intelligent robots be qualified as legal subjects.Journal of Xi'an Jiaotong University (Social Sciences), (01), 115-122.

[5] Liu Yunkai(2024). Copyright Infringement Risk and Liability Allocation of content Generated by artificial intelligence. Journal of Xi'an Jiaotong University (Social Sciences) , (06), 166-177.

[6] Zhou Xuefeng(2023). Analysis on tort liability of Generative Artificial Intelligence. Journal of Comparative Law, (04),117-131.

[7] Huang Yuye &Liu Yunkai(2023, February 15). Cold thoughts behind ChatGPT's heat. China Intellectual Propety News, p. A2.

[8] Chu Meng(2021). Challenges and solutions of artificial intelligence to copyright infringement liability system. Northern Legal Science, (01), 138-150.