研究发现AI解释难让用户改变主意，因人们常忽略解释内容。
Can AI Explanations Make You Change Your Mind?
- 通过在线实验考察用户对可解释决策系统的信任
- 多数参与者未仔细阅读解释，影响判断准确性
- 揭示了解释有效性受注意力和认知投入制约
在基于AI的决策支持系统中，解释有助于用户判断何时信任或质疑AI建议，从而防止错误和偏见。然而，这依赖于用户能充分理解解释内容。我们开展了一项在线研究，考察用户对可解释决策系统的信任，意外发现许多参与者并未花足够时间阅读解释，也未深入分析。通过对数据的探索性分析，我们探究了影响用户细致考虑AI解释的因素，以及这种考虑程度如何影响其是否愿意根据AI建议改变原有判断。
原文摘要 · Abstract (English)
In the context of AI-based decision support systems, explanations can help users to judge when to trust the AI's suggestion, and when to question it. In this way, human oversight can prevent AI errors and biased decision-making. However, this rests on the assumption that users will consider explanations in enough detail to be able to catch such errors. We conducted an online study on trust in explainable DSS, and were surprised to find that in many cases, participants spent little time on the explanation and did not always consider it in detail. We present an exploratory analysis of this data, investigating what factors impact how carefully study participants consider AI explanations, and how this in turn impacts whether they are open to changing their mind based on what the AI suggests.
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