人工智能生成物著作权保护路径探析

Analysis on the Copyright Protection Path for Artificial Intelligence-Generated Works

摘要: 在人工智能技术迅猛发展、深刻重塑内容创作生态的背景下，人工智能生成物的版权问题已成为法学界与产业界共同关注的焦点。仅围绕人工智能生成物可版权性“是”或“否”的单一论证，难以破解其版权保护中的各类实践难题。因此，需构建“认定–归属–补充–溯源”的全链条、多层次保护路径，将可版权性标准、权利归属、邻接权保护和数据训练规则四大环节有机结合，形成逻辑清晰、体系完备、兼具实践导向的版权保护体系。

Abstract: Against the backdrop of the rapid development of artificial intelligence technology and its profound reshaping of the content creation ecosystem, copyright issues concerning AI-generated content have emerged as a focal point of shared concern for both the legal academia and the industrial community. A simplistic argument centering solely on “yes” or “no” regarding the copyrightability of AI-generated outputs is insufficient to resolve the various practical challenges in their copyright protection. Therefore, it is necessary to construct a full-chain, multi-tiered protection pathway of “identification—attribution—supplementation—traceability”, which organically integrates four key components: copyrightability standards, ownership of rights, neighboring rights protection, and data training rules, so as to form a logically coherent, systematically complete, and practice-oriented copyright protection regime.