Special issue on explainable AI in evolutionary computation.

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• Peer Reviewed: Not Peer Reviewed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
• 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