构建评估推荐算法社会风险的平台，助力监管与研究
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms
- 设计可大规模评估推荐系统内容分发的评测环境
- 能识别在线内容传播中的有害模式，支持监管落地
- 适合政策制定者、研究人员及平台合规团队使用
推荐算法在在线内容分发中引发的社会风险已广受关注。新兴监管措施旨在通过伦理审计和推动算法社会影响研究来缓解此类风险。然而，当前仍缺乏有效的工具与方法支持评估工作。本文提出ARTAI——一个评估平台，支持对推荐算法进行大规模测评，以识别内容传播中的有害模式，并实现新的透明性监管要求。该平台为算法社会影响研究和合规实践提供关键基础设施。
原文摘要 · Abstract (English)
Societal risk emanating from how recommender algorithms disseminate content online is now well documented. Emergent regulation aims to mitigate this risk through ethical audits and enabling new research on the social impact of algorithms. However, there is currently a need for tools and methods that enable such evaluation. This paper presents ARTAI, an evaluation environment that enables large-scale assessments of recommender algorithms to identify harmful patterns in how content is distributed online and enables the implementation of new regulatory requirements for increased transparency in recommender systems.
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