Providing personalized Explanations: a Conversational Approach
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
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| _version_ | 1866912752571777024 |
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| author | Luo, Jieting Studer, Thomas Dastani, Mehdi |
| author_facet | Luo, Jieting Studer, Thomas Dastani, Mehdi |
| contents | The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various knowledge and 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_11452 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Providing personalized Explanations: a Conversational Approach Luo, Jieting Studer, Thomas Dastani, Mehdi Multiagent Systems Artificial Intelligence Logic in Computer Science The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various knowledge and 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. |
| title | Providing personalized Explanations: a Conversational Approach |
| topic | Multiagent Systems Artificial Intelligence Logic in Computer Science |
| url | https://arxiv.org/abs/2307.11452 |