Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

Author:

Chou Yu-LiangORCID,Moreira CatarinaORCID,Bruza Peter,Ouyang Chun,Jorge JoaquimORCID

Funder

Fundação para a Ciência e a Tecnologia

Queensland University of Technology

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference164 articles.

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3. What does explainable AI really mean? A new conceptualization of perspectives;Doran,2017

4. C.T. Ramaravind K. Mothilal, Examples are not enough, learn to criticize! Criticism for Interpretability, in: Proceedings of the 2020 Conference on Fairness, Accountability, and TransparencyJanuary, 2020.

5. European union regulations on algorithmic decision-making and a “Right to explanation”;Goodman;AI Mag.,2017

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