平台限权阻碍AI透明，反让监管失效
The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
- 构建审计框架，对比四大平台接口限制
- 发现内容审核与算法推荐存在不可查盲区
- 建议联邦访问模式，适配监管与技术平衡
主要社交媒体平台的API限制正挑战欧盟《数字服务法》对算法透明度的数据获取要求。本文提出结构化审计框架，评估监管要求与平台实际执行之间的错位。通过对X/Twitter、Reddit、TikTok和Meta的比较分析，发现内容审核与算法推荐机制存在独立验证无法触及的“审计盲区”。研究揭示了“问责悖论”：平台越依赖AI，越限制外部监督能力。为此提出基于美国国家标准与技术研究院《人工智能风险管理框架》的针对性政策干预，强调联邦式数据访问模型与强化监管执行。
原文摘要 · Abstract (English)
Recent application programming interface (API) restrictions on major social media platforms challenge compliance with the EU Digital Services Act [20], which mandates data access for algorithmic transparency. We develop a structured audit framework to assess the growing misalignment between regulatory requirements and platform implementations. Our comparative analysis of X/Twitter, Reddit, TikTok, and Meta identifies critical ``audit blind-spots'' where platform content moderation and algorithmic amplification remain inaccessible to independent verification. Our findings reveal an ``accountability paradox'': as platforms increasingly rely on AI systems, they simultaneously restrict the capacity for independent oversight. We propose targeted policy interventions aligned with the AI Risk Management Framework of the National Institute of Standards and Technology [80], emphasizing federated access models and enhanced regulatory enforcement.
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