AIGC大模型数据训练版权规制的终端转向

    The Terminal Shift of Copyright Regulation for AIGC Large-Scale Model Data Training

    • 摘要: 如何协调作品版权保护与AIGC大模型数据训练间的关系,已成为实现AIGC大模型高质量迭代更新的“阿克琉斯之踵”。“权利范式”下合理使用与法定许可的前端规制路径各有缺陷,难以达致平衡AIGC大模型产业发展与版权人利益保障的制度目标。着眼终端输出管控的“关系范式”,因贴合产业演进动态治理要求、适于调整作品数据所涉双重交互关系、兼容既存制度环境以及存在成熟规则借鉴范例,足以成为中国规制AIGC大模型数据训练的基础性制度架构。当用户利用AIGC大模型实施版权侵权行为时,如果大模型提供者无法证明其在数据训练过程中实际履行防输出抄袭和制止重复侵权的注意义务,即应承担针对版权人利益减损的第三方侵权责任。

       

      Abstract: How to properly handle the relationship between copyright protection for works and the training of AIGC large-scale models has become the “Achilles’ heel” in achieving high-quality iterative updates for AIGC large-scale models. The “right paradigm” approach to front-end regulation, which involves reasonable use and statutory licensing, each has its shortcomings, making it difficult to achieve the institutional goal of balancing the development of the AIGC large-scale model industry with the protection of copyright holders’ interests. The “relationship paradigm”, focusing on terminal output control, can become the foundational institutional framework for regulating AIGC large-scale model training in our country. When users engage in copyright infringement using AIGC large-scale models, if the model provider cannot prove that it has actually fulfilled the duty to prevent output plagiarism and stop repeated infringement during the data training process, it should bear third-party infringement liability for the loss of interests of copyright holders.

       

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