Explainable artificial intelligence : first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings. Part I / Luca Longo, editor.
World Conference on eXplainable Artificial Intelligence (1st : 2023 : Lisbon, Portugal); Longo, Luca, editor.
2023
Q334 .E97 2023
Available Online

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Title Explainable artificial intelligence : first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings. Part I / Luca Longo, editor.
Meeting Name World Conference on eXplainable Artificial Intelligence (1st : 2023 : Lisbon, Portugal)
ISBN 9783031440649 electronic book
3031440641 electronic book
9783031440632
3031440633
DOI https://doi.org/10.1007/978-3-031-44064-9
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xxv, 692 pages) : illustrations (some color).
Item Number 10.1007/978-3-031-44064-9 doi
Call Number Q334 .E97 2023
Dewey Decimal Classification 006.3
Summary This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 31, 2023).
Added Author Longo, Luca, editor.
Series Communications in computer and information science ; 1901. 1865-0937
Available in Other Form Print version: 9783031440632
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Interdisciplinary perspectives, approaches and strategies for xAI
Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI
Explainable AI in Finance, cybersecurity, health-care and biomedicine.

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