Explainable Artificial Intelligence

Explainable Artificial Intelligence

  • Luca Longo
  • Sebastian Lapuschkin
  • Christin Seifert
Publisher:Springer NatureISBN 13: 9783031637971ISBN 10: 3031637976

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Know about the book -

Explainable Artificial Intelligence is written by Luca Longo and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031637976 (ISBN 10) and 9783031637971 (ISBN 13).

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.