Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI) - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

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

Résumé

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.

Domaines

Intelligence artificielle [cs.AI] Machine Learning [stat.ML]
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Wassila Ouerdane  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-03102722

Soumis le : mardi 19 avril 2022-18:05:42

Dernière modification le : mardi 3 décembre 2024-13:12:02

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Dates et versions

hal-03102722 , version 1 (19-04-2022)

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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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