Evolutionary Computation and Explainable AI: a year in review

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@InProceedings{Bacardit:2023:evostarLBA,

• author = "Jaume Bacardit and Alexander E. I. Brownlee and Stefano Cagnoni and Giovanni Iacca and John McCall and David Walker",
• title = "Evolutionary Computation and Explainable {AI}: a year in review",
• booktitle = "Evostar 2023 Late breaking abstracts",
• year = "2023",
• editor = "Antonio M. Mora and Anna I. Esparcia-Alcazar",
• pages = "38--41",
• address = "Brno",
• month = "12-14 " # apr,
• organisation = "Species",
• keywords = "genetic algorithms, genetic programming, Explainable Artificial Intelligence, XAI, Evolutionary Computation and Optimisation, Machine Learning",
• URL = "https://arxiv.org/abs/2403.13950",
• size = "4 pages",
• abstract = "In 2022, we organized the first Workshop on Evolutionary Computation and Explainable AI (ECXAI). With no pretence at completeness, this paper briefly comments on its outcome, what has happened since then in the field, and our expectations for the near future.",

}

Genetic Programming entries for Jaume Bacardit Alexander E I Brownlee Stefano Cagnoni Giovanni Iacca John A W McCall David Walker

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