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Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI)

Abstract : Among challenges for eXplainable Artificial Intelligence (XAI) is explanation generation. In this paper we put the stress on this issue by focusing on a semantic representation of the content of an explanation that could be common to any kind of XAI. We investigate knowledge representations, and discuss the benefits of conceptual graph structures for being a basis to represent explanations in AI.
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https://hal.archives-ouvertes.fr/hal-03102722
Contributor : Wassila Ouerdane Connect in order to contact the contributor
Submitted on : Tuesday, April 19, 2022 - 6:05:42 PM
Last modification on : Thursday, April 28, 2022 - 3:36:01 AM

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Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane. Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI). The 1st workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI), Oct 2019, Tokyo, Japan. pp.14-19, ⟨10.18653/v1/W19-8404⟩. ⟨hal-03102722⟩

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