On What We Know We Don't Know: Explanation, Theory, Linguistics, and How Questions Shape Them

By Sylvain Bromberger. 1993

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Explaining Explanations: An Overview of Interpretability of Machine Learning (2018, background): “Some say a good explanation depends on the question [16].”
Questioning the AI: Informing Design Practices for Explainable AI User Experiences (2020, background): “are few established means of quantifying explainability. Partly, the reason is that the effectiveness of an explanation is relative to the recipient, and on a philosophical ground, the question asked [17]. So the same explanation may be seen as more or less comprehensible to different users, or even”
Explainable Agents and Robots: Results from a Systematic Literature Review (2019, background): “The philosophy of language explores the nature of explanations and their relationship with linguistics [9].”
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning (2018, background): “Some say a good explanation depends on the question [16].”