CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models
iScience, 2022. [All Versions]. This work proposes CX-ToM, 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…
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X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust arxiv.org
CVPR XAI Workshop'19, 2019. [All Versions]. This work presents a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. The authors pose explanation as an iterative communication process, i.e. dialog…
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Machine theory of mind proceedings.mlr.press
ICML'18, 2018. [All Versions]. Theory of mind (ToM) broadly refers to humans’ ability to represent the mental states of others, including their desires, beliefs, and intentions. This work proposes a Theory of Mind neural network --- a ToMnet --- which uses meta-learning to…
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Machine-generated theories of human decision-making cpb-us-w2.wpmucdn.com
Science, 2021. [All Versions].
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A tale of two explanations: Enhancing human trust by explaining robot behavior science.org
Science Robotics, 2019. [All Versions]. [Preprint]. The ability to provide comprehensive explanations of chosen actions is a hallmark of intelligence. Lack of this ability impedes the general acceptance of AI and robot systems in critical tasks. This paper examines what forms…
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Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap onlinelibrary.wiley.com
Topics in Cognitive Science, 2019. [All Versions]. This paper proposes an intuitive theory framework to studying affective cognition—how humans reason about emotions—and derive a taxonomy of inferences within affective cognition. Using this taxonomy, the authors review formal…
AGI & CoCoSci › Papers > Explainability > Trustworthy AI: “iScience, 2022. [All Versions]. This work proposes CX-ToM, 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…”