解释导航器：通过对话引导纠正对泄漏式AI解释的超出范围的人类解读

中文摘要 AI 辅助

随着人工智能系统解释的普及，其接收者不仅必须理解这些解释所传达的内容，还必须认识到它们所不能传达的内容。我们开展了一项包含九名参与者的访谈研究，以考察当解释对象的信息需求超出可用解释的范围时，他们如何进行推理。参与者常常在解释中缺失相关信息时无意中虚构出解释性见解，而未能认识到这些解释固有的局限性。我们将此类解释定性为泄漏式解释——即旨在隐藏复杂性、但其正确解读却依赖于对隐藏细节的理解的简化形式。为解决超出范围的解读问题，我们提出了解释导航器：一种对话式交互框架，用于检测用户信息需求与解释内容之间的不匹配，阐明相关但隐含的细节，并为未满足的信息需求提供补充解释。一项包含316名参与者的在线研究表明，我们的方法使解释对象能够识别并纠正虚构的解释性见解，引导他们形成正确的理解。

英文摘要

As explanations of artificial intelligence systems proliferate, their recipients must grasp not only what they convey but also recognise what they cannot. We conducted an interview study with nine participants to examine how explainees reason when their information needs exceed the scope of available explanations. Participants often unwittingly confabulated explanatory insights when relevant information was missing from the explanations, not recognising the inherent limitations thereof. We characterise such explanations as leaky explanations -- simplifications that strive to hide complexity yet whose correct interpretation hinges on understanding of the concealed details. To address out-of-scope interpretations we propose Explanation Navigator: a conversational interaction framework that detects mismatches between users' information needs and explanations' content, elucidating pertinent yet implicit details and providing complementary explanations for unmet information needs. An online study with 316 participants showed that our approach allowed explainees to recognise and rectify confabulated explanatory insights, guiding them towards developing correct understanding.

发表机构

• ARC Centre of Excellence for Automated Decision-Making and Society, School of Computing Technologies, RMIT University（RMIT大学计算技术学院自动化决策与社会卓越中心）
• Università della Svizzera italiana（瑞士意大利语大学）

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