CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models.

We propose , short for counterfactual explanations with theory-of-mind, a new explainable AI (XAI) framework for explaining decisions made by a deep convolutional neural network (CNN). In contrast to the current methods in XAI that generate explanations as a single shot response, we pose explanation as an iterative communication process, i.e.