CSET：2025年将可解释的AI放在测试中：对AI评估方法的批判性观察报告（英文版）

Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluate their explainability and interpretability claims in the context of AI-enabled recommendation systems and offers considerations for policymakers seeking to support AI evaluations.