人工智能时代电子商务平台内容审核的合规边界与法律挑战

Compliance Boundaries and Legal Challenges of Content Review for E-Commerce Platforms in the Era of Artificial Intelligence

摘要: 随着数字经济飞速发展，人工智能技术在电子商务平台中的广泛应用推动了内容审核方式变革。自动化算法驱动的审核系统大幅提高了处理效率，但也带来了诸多法律合规挑战。本文探讨了人工智能时代电子商务平台内容审核的合规边界，重点分析了算法决策合法性、算法偏见与反歧视原则的冲突、透明度缺失与用户知情权的张力等法律问题。同时，探讨了跨境合规标准冲突的挑战及其可能的解决路径。为应对这些挑战，提出了构建算法全生命周期动态评估机制、重构平台责任认定、推行算法沙盒与穿透式监管等建议，希望对电子商务平台内容审核系统的合规性与公正性提供参考。

Abstract: With the rapid development of the digital economy, the widespread application of artificial intelligence technology in e-commerce platforms has driven the transformation of content review methods. The automated algorithm driven auditing system has significantly improved processing efficiency, but it has also brought many legal compliance challenges. This article explores the compliance boundaries of content review on e-commerce platforms in the era of artificial intelligence, with a focus on analyzing legal issues such as the legality of algorithm decisions, the conflict between algorithm bias and anti discrimination principles, the lack of transparency, and the tension between users’ right to know. At the same time, the challenges of cross-border compliance standard conflicts and possible solutions were discussed. To address these challenges, suggestions have been put forward such as building a dynamic evaluation mechanism for the entire lifecycle of algorithms, restructuring platform responsibility determination, promoting algorithm sandboxing and penetrating supervision, hoping to provide reference for the compliance and fairness of e-commerce platform content review systems.