Argumentation as a Method for Explainable AI : A Systematic Literature Review
Débora Cristina Engelmann, Juliana Damasio Oliveira, Alison Roberto Panisson, Viviana Mascardi, Rafael H. Bordini · 2022 17th Iberian Conference on Information Systems and Technologies (CISTI) · 2022
Often, users do not know how artificial intelligence (AI) systems make decisions or obtain information, making it difficult for them to trust AI. This paper provides a systematic analysis of the advances in the use of argumentation theory to support explainability in dialogue systems.