电商平台推荐算法的法律风险及规制路径研究

Research on Legal Risks and Regulatory Paths of E-Commerce Platform Recommendation Algorithms

摘要: 随着数字经济的深入发展，电商平台推荐算法在提升交易效率的同时，也引发了复杂的法律风险。本文系统分析了推荐算法从技术工具向准公共权力演变的属性特征，深入探讨了算法在消费者交易和司法活动两个场景中引发的公平性、透明度及权利保障等法律风险。基于此，提出构建平台推荐算法的综合规制路径，以多方协同治理为核心，包含权责明晰的法律责任体系、技术赋能的监管体系和动态优化调整机制。以平衡技术创新与权益保护，维护个人权益与公共秩序。

Abstract: With the deepening development of the digital economy, recommendation algorithms on e-commerce platforms have not only improved transaction efficiency, but also raised complex legal risks. This article systematically analyzes the attribute characteristics of the evolution of recommendation algorithms from technical tools to quasi public power, and deeply explores the legal risks of fairness, transparency, and rights protection caused by algorithms in two scenarios: consumer transactions and judicial activities. Based on this, a comprehensive regulatory path for building platform recommendation algorithms is proposed, with multi-party collaborative governance as the core, including a legal responsibility system with clear rights and responsibilities, a regulatory system empowered by technology, and a dynamic optimization and adjustment mechanism. To balance technological innovation and rights protection, and to safeguard individual rights and public order.