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Special issue on explainable AI in evolutionary computation.

Contributors

Jaume Bacardit
Editor

Alexander Brownlee
Editor

Stefano Cagnoni
Editor

Giovanni Iacca
Editor

David Walker
Editor

Abstract

Explainable Artificial Intelligence (XAI) has recently emerged as one of the most active areas of research in AI. While Evolutionary Computation (EC) is also a very active research area, the intersection between XAI and EC is still rather unexplored. This topic was the subject of our Workshops on Evolutionary Computing and Explainable Artificial Intelligence(ECXAI), organized at GECCO 2022 and GECCO 2023. This special issue collects four articles further exploring the intersection between XAI and EC, including both the use of EC for XAI as well as the use of explainability techniques to better understand EC methods.

Citation

BACARDIT, J., BROWNLEE, A., CAGNONI, S., IACCA, G., MCCALL, J. and WALKER, D. (eds.) 2024. Special issue on explainable AI in evolutionary computation. ACM transactions on evolutionary learning and optimization [online], 4(1). Available from: https://dl.acm.org/toc/telo/2024/4/1

Journal Article Type Editorial
Acceptance Date Aug 14, 2023
Online Publication Date Mar 13, 2024
Publication Date Mar 31, 2024
Deposit Date Oct 15, 2024
Publicly Available Date Oct 15, 2024
Journal ACM transactions on evolutionary learning and optimization
Print ISSN 2688-299X
Electronic ISSN 2688-3007
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Not Peer Reviewed
Volume 4
Issue 1
Pages 1-2
DOI https://doi.org/10.1145/3649144
Keywords Explanable artificial intelligence; Artificial intelligence; Evolutionary computation
Public URL https://rgu-repository.worktribe.com/output/2271263
Publisher URL https://dl.acm.org/toc/telo/2024/4/1
Related Public URLs https://rgu-repository.worktribe.com/output/2086616 (Article in special issue by RGU authors)
Additional Information The file accompanying this record is an introduction extracted from the special issue, which is available from: https://dl.acm.org/toc/telo/2024/4/1

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© 2024 Copyright held by the owner/author(s).




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