On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios

Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti +1

Explanation generation frameworks aim to make AI systems' decisions transparent and understandable to human users. However, generating explanations in uncertain environments charac…