并非所有解释都被寻求：以人为本XAI的信息寻求心理学
原标题：Not All Explanations Are Sought: Information-Seeking Psychology for Human-Centered XAI
AI 摘要
这篇立场论文主张，以人为中心的可解释AI（HCXAI）应整合信息寻求心理学，基于Sharot和Sunstein的框架，提出人们根据工具性、享乐性和认知性三种预期效用来决定是否寻求解释，并受多种认知偏差影响，导致过度或不足的信息寻求，尤其在智能体AI系统中更为关键。作者倡导从“让解释可用”转向“让解释被寻求”，设计系统时考虑用户实际想要知道的时机和原因。
正文节选
Not All Explanations Are Sought: Information-Seeking Psychology for Human-Centered XAI Abstract. This position paper argues that human-centered explainable AI (HCXAI) should incorporate insights from the psychology of information seeking. Drawing on Sharot and Sunstein’s framework of information-seeking motives, we propose that people evaluate whether to engage with explanations based on three types of expected utility: instrumental (will it help me act better?), hedonic (will it make me feel be