Some Insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence
Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane · 2019
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.