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Explainable Artificial Intelligence Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III /

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 a...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Longo, Luca (Editor), Lapuschkin, Sebastian (Editor), Seifert, Christin (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Serier:Communications in Computer and Information Science, 2155
Fag:
Artificial intelligence.
Natural language processing (Computer science).
Application software.
Computer networks .
Artificial Intelligence.
Natural Language Processing (NLP).
Computer and Information Systems Applications.
Computer Communication Networks.
Online adgang:https://doi.org/10.1007/978-3-031-63800-8
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Beskrivelse
Summary: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.
Fysisk beskrivelse:XVII, 456 p. 130 illus., 103 illus. in color. online resource.
ISBN:9783031638008
ISSN:1865-0937 ;
DOI:10.1007/978-3-031-63800-8

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