Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1903)
Included in the following conference series:
Conference proceedings info: xAI 2023.
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About this book
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.
Keywords
- artificial intelligence
- interpretable machine learning
- causal inference & explanations
- argumentative-based approaches for explanations
- decomposition of neural network-based models for XAI
- convolutional Neural Networks
- natural language processing for explanations
- reinforcement learning for enhancing XAI
- explainability
- neural networks
Table of contents (26 papers)
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xAI for Time Series and Natural Language Processing
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Human-Centered Explanations and xAI for Trustworthy and Responsible AI
Other volumes
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Explainable Artificial Intelligence
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Explainable Artificial Intelligence
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Explainable Artificial Intelligence
Editors and Affiliations
Bibliographic Information
Book Title: Explainable Artificial Intelligence
Book Subtitle: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III
Editors: Luca Longo
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-031-44070-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-44069-4Published: 21 October 2023
eBook ISBN: 978-3-031-44070-0Published: 20 October 2023
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XVII, 540
Number of Illustrations: 39 b/w illustrations, 186 illustrations in colour
Topics: Artificial Intelligence, Computer Applications, Computer Communication Networks, Natural Language Processing (NLP)