关键词: 智能体；输出内容；版权；行为链；多主体风险预防

Abstract: AI agents have transformed the logic of data training, tool invocation, and content dissemination in generative artificial intelligence, creating behaviour-chain risks involving multiple actors. These risks are manifested in the extension of copyright infringement to material-invocation scenarios, the involvement of multiple participants in infringement risks, and the ecological damage caused by automated output of infringing content. The governance framework for generative AI content has traditionally relied on content moderation and platform model regulation, making it incapable of managing the risk or failing to interrupt the infringement behaviour chain. That results in three structural mismatches: between centralised control of knowledge and decentralised multi-actor risks, between content review and segmented behavioural control, and between ex-post notice-and-takedown mechanisms and the attribution of chain-based infringements. Accordingly, the regulatory focus should shift towards behavior chain control, establishing a responsibility allocation model based on behavioural chains to facilitate risk prevention under a multi-actor duty-of-care framework. Specifically, this entails users’ obligations to define tasks and confirm authorization, AI agent service providers’ end-to-end preventive obligations, third-party technology providers’ obligations to respect the boundaries of technical capabilities, and a responsibility attribution mechanism that runs through the entire behaviour chain.

Key words: AI agent; output content; copyright; behaviour chain control; multi-actor risk prevention