算法推荐平台版权注意义务的扩张与合规措施研究

Research on the Expansion of Copyright Care Obligations and Compliance Measures of Algorithmic Recommendation Platforms

摘要: 算法推荐技术在互联网平台的广泛应用，催生了版权侵权“范围扩大化、速率加快化、行为隐秘化”的新特征，传统“避风港规则”与司法裁判标准的适配性不足，平台合规预期模糊。在界定算法推荐技术的内涵与特性基础上，从侵权行为裂变式扩散、“避风港规则”失灵两方面论证注意义务扩张的必要性，从技术具有非中立性、平台具有危险控制力、侵权损害原因力三维度阐释注意义务扩张的合理性。面对注意义务的扩张，向算法推荐平台提出可操作的全流程合规方案：事前通过高风险板块技术过滤、预警函专项处置、算法合规设计等实现源头防控；事中依托流量异常监测、重复侵权阶梯管控等强化动态管控；事后通过侵权通知闭环处置、涉诉整改、数据算法反馈优化形成闭环。旨在为算法推荐平台版权合规运营提供具体执行路径，同时为司法实践中平台注意义务的认定提供参考，助力著作权保护与平台产业健康发展。

Abstract: The wide application of algorithm recommendation technology in internet platforms has spawned new characteristics of copyright infringement: “expanded scope, accelerated speed, and concealed behavior”. The traditional “safe harbor rule” is insufficiently compatible with judicial judgment standards, leading to ambiguous compliance expectations for platforms. Based on defining the connotation and characteristics of algorithm recommendation technology, this paper demonstrates the necessity of expanding the duty of care from two aspects: the fission-like spread of infringement acts and the failure of the “safe harbor rule”, and explains the rationality of expanding the duty of care from three dimensions: the non-neutrality of technology, the platform’s dangerous control ability, and the causal force of infringement damage. In response to the expansion of the duty of care, this paper proposes an operable full-process compliance plan for algorithm recommendation platforms: realizing source prevention through technical filtering of high-risk sections, special handling of early warning letters, and compliant design of algorithms in the pre-stage; strengthening dynamic control by relying on abnormal traffic monitoring and hierarchical management of repeated infringement in the in-stage; forming a closed loop through closed-loop disposal of infringement notifications, rectification after litigation, and optimization of data algorithm feedback in the post-stage. It aims to provide specific implementation paths for the copyright compliance operation of algorithm recommendation platforms, and at the same time offer references for the identification of platforms’ duty of care in judicial practice, helping to balance copyright protection and the healthy development of the platform industry.