Providing Personalized Explanations: A Conversational Approach

Luo, Jieting; Studer, Thomas; Dastani, Mehdi (2023). Providing Personalized Explanations: A Conversational Approach. In: Herzig, Andreas; Luo, Jieting; Pardo, Pere (eds.) International Conference on Logic and Argumentation, 2023. Lecture Notes in Computer Science: Vol. 14156 (pp. 121-137). Cham: Springer Nature Switzerland 10.1007/978-3-031-40875-5_8

	Text CLAR_2023_paper_5.pdf - Accepted Version Restricted to registered users only Available under License Publisher holds Copyright. Download (268kB)
	Text 978-3-031-40875-5_8.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (287kB)

The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various backgrounds. In general, a conversation between explainers and explainees not only allows explainers to obtain the explainees' background, but also allows explainees to better understand the explanations. In this paper, we propose an approach for an explainer to communicate personalized explanations to an explainee through having consecutive conversations with the explainee. We prove that the conversation terminates due to the explainee's justification of the initial claim as long as there exists an explanation for the initial claim that the explainee understands and the explainer is aware of.

Interest & Impact

Downloads

2 since deposited on 25 Mar 2024
2 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item