📄 中文摘要
提出了一种评估 AI 代理思维能力的方法，即通过询问其行为的原因来进行诊断。具体的回答表明在某种结构内做出了真实的选择，而模糊的回答则表明没有做出明确的决策。此外，强调了解释性不应仅被视为透明度特征或合规性工具，而应更深入地理解其在 AI 代理决策过程中的重要性。
解释测试：如何判断你的 AI 代理是否真正思考
出处: "The Explanation Test: How to Tell If Your AI Agent Actually Thinks"
发布: 2026年3月31日
📄 English Summary
"The Explanation Test: How to Tell If Your AI Agent Actually Thinks"
A method for evaluating the cognitive abilities of AI agents is introduced by asking them to explain their actions. Specific answers indicate that a real choice was made within a structured framework, while vague responses suggest that no definitive decision was reached. Furthermore, the article emphasizes that explainability should not merely be viewed as a transparency feature or a compliance tool, but rather understood in the context of its significance in the decision-making processes of AI agents.