生成式人工智能生成内容的侵权风险与规制路径

Infringement Risks and Regulatory Paths of Content Generated by Generative Artificial Intelligence

摘要: 当今生成式人工智能的发展迅速，其生成内容的质量受到了广泛的关注，该技术的飞速发展与法律的滞后性相矛盾，因此生成内容的侵权风险难以适用传统的法律体系加以规制，给治理带来了困境。为厘清生成式人工智能生成内容侵权风险的规制路径，本文以动态体系论为基础，聚焦生成内容的侵权风险问题，结合目前存在的治理困境展开分析。研究发现需构建能动分工的分层治理机制，同时明确生成内容著作权的归属标准，并且需要完善生成侵权内容的过错归责原则。为生成内容的侵权风险规制路径提供具体参考，也为生成式人工智能的后续研究拓展了动态治理的研究方向。

Abstract: Nowadays, generative artificial intelligence is developing rapidly, and the quality of the content it generates has attracted widespread attention. The rapid advancement of this technology conflicts with the inherent lag of legal systems. Consequently, the infringement risks associated with generative content cannot be effectively regulated by traditional legal frameworks, creating predicaments for governance. To clarify the regulatory approaches to the infringement risks of generative AI content, this paper, based on the theory of dynamic systems, focuses on the issue of infringement risks of generative content and conducts an analysis in combination with the current governance dilemmas. The study finds that it is necessary to establish a hierarchical governance mechanism featuring active division of labor, clarify the ownership criteria for the copyright of generative content, and improve the fault liability principle for the creation of infringing content. This research provides specific references for the regulatory paths of generative content infringement risks, and also expands the research direction of dynamic governance for subsequent studies on generative artificial intelligence.