Cited by 302Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal InferenceSoftware Testing and Debugging Techniques

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

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Chou, Yu-Liang, Moreira, Catarina, Bruza, Peter, Ouyang, Chun, Jorge, Joaquim·2022·Information Fusion

DOI 10.1016/j.inffus.2021.11.003

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Authors: Chou, Y.-L., Moreira, C., Bruza, P., Ouyang, C., & Jorge, J.
Affiliations: Queensland University of Technology (AU)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
Corresponding author: Moreira, Catarina
ORCID: Chou, Yu-Liang
Moreira, Catarina
Bruza, Peter
Ouyang, Chun
Jorge, Joaquim
Venue: Information Fusion
Publisher: Elsevier BV
Published: 2022-05
Volume: 81
Pages: 59-83
ISSN: 1566-2535 (ISSN-L)
DOI: 10.1016/j.inffus.2021.11.003
OpenAlex: W3214404698
Cited by: 302
References: 163
Citations by year: 2026: 54 · 2025: 75 · 2024: 71 · 2023: 63 · 2022: 32
FWCI: 14.57
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Information Fusion (publishedVersion)
arXiv (Cornell University) (submittedVersion)
QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
arXiv (Cornell University) (cc-by)
Funders: Fundação para a Ciência e a Tecnologia (UIDB/50021/2020)
Queensland University of Technology
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
Keywords: counterfactual explanations, causality, explainable AI, model-agnostic explainability, deep learning interpretability, spurious correlations

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

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