CSET：2025年可解释人工智能的实证检验：对AI评估方法的批判性审视报告（英文版）

Policymakers frequently invoke explainability and interpretability as key principles that responsible and safe AI systems should uphold. However, it is unclear how evaluations of explainability and interpretability methods are conducted in practice. To examine evaluations of these methods, we conducted a literature review of studies that focus on the explainability and interpretability of recommendation systems—a type of AI system that often uses explanations. Specifically, we analyzed how re