人工智能生成内容的著作权归属认定与侵权责任配置

Determination of Copyright Ownership and Allocation of Infringement Liability for Artificial Intelligence Generated Content

摘要: 简述生成式人工智能(AIGC)的爆发对传统著作权法带来的双重冲击：一是AIGC能否构成作品及权利归谁所有；二是AIGC在训练与生成阶段引发的侵权问题应如何界定责任。本文以“逻辑起点–权属界定–风险规制”为研究主线，旨在通过穿透式审查探究独创性标准与主体资格，明晰AIGC的权利归属路径。此外，基于利益平衡原则，提出构建涵盖研发者、使用者与内容平台的侵权责任配置体系，以应对人工智能时代的数字法治挑战。

Abstract: This paper outlines the dual impact of the explosive growth of Artificial Intelligence Generated Content (AIGC) on traditional copyright law: first, whether AIGC can constitute a work and who owns the rights; second, how to define the liability for infringement issues triggered during the training and generation phases of AIGC. Taking “logical starting point—ownership attribution—risk regulation” as the main research thread, this paper aims to explore the standards of originality and subject qualification through a penetrative review, thereby clarifying the path for AIGC copyright attribution. Furthermore, based on the principle of balance of interests, it proposes the construction of a system for allocating infringement liability that encompasses developers, users, and content platforms, in order to address the digital rule of law challenges in the era of artificial intelligence.