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

We propose 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 generate explanations as a single shot response, we pose expla...

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Detalles Bibliográficos
Autores principales: Akula, Arjun R., Wang, Keze, Liu, Changsong, Saba-Sadiya, Sari, Lu, Hongjing, Todorovic, Sinisa, Chai, Joyce, Zhu, Song-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753121/
https://www.ncbi.nlm.nih.gov/pubmed/35036861
http://dx.doi.org/10.1016/j.isci.2021.103581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753121/
https://www.ncbi.nlm.nih.gov/pubmed/35036861
http://dx.doi.org/10.1016/j.isci.2021.103581

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