On the Multiple Roles of Ontologies in Explainable AI

• URL: http://arxiv.org/abs/2311.04778v1
• Date: Wed, 8 Nov 2023 15:57:26 GMT
• Title: On the Multiple Roles of Ontologies in Explainable AI
• Authors: Roberto Confalonieri and Giancarlo Guizzardi
• Abstract summary: This paper discusses the different roles that explicit knowledge, in particular, can play in Explainable AI. We consider three main perspectives in which reference modelling, common-sense reasoning, and knowledge refinement and complexity management.
• Score: 0.32634122554913997
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper discusses the different roles that explicit knowledge, in particular ontologies, can play in Explainable AI and in the development of human-centric explainable systems and intelligible explanations. We consider three main perspectives in which ontologies can contribute significantly, namely reference modelling, common-sense reasoning, and knowledge refinement and complexity management. We overview some of the existing approaches in the literature, and we position them according to these three proposed perspectives. The paper concludes by discussing what challenges still need to be addressed to enable ontology-based approaches to explanation and to evaluate their human-understandability and effectiveness.

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