A dialogue system specification for explanation

53 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “Walton (2004, 2007, 2011) Argues that explanation systems in AI need to be founded on the dialectical concept, that is, explanation is a process of dialog to achieve shared understanding.”
Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, methodology): “However, the models of Hilton [72], Antaki and Leudar [3], and Walton [183] are all independent of language.”
Formalizing Explanatory Dialogues (2015, methodology): “Another alternative would be the use of examination dialogue as proposed in [21].”
Combining explanation and argumentation in dialogue (2016, methodology): “Now, for explanation we need other speech acts, as defined by [5,27].”
A Grounded Interaction Protocol for Explainable Artificial Intelligence (2019, background): “While there are mature existing models for explanation dialogs [32, 33], these are idealised conceptual models that are not grounded on or validated by data, and seem to lack iterative features like cyclic dialogues.”
Explainable Artificial Intelligence: a Systematic Review (2020, background): “Different ways to structure a conversational explanation, or dialogue, to successfully transfer knowledge from an explainer to an explainee were listed in [114, 115, 116, 117, 81].”