Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 2154)
Included in the following conference series:
Conference proceedings info: xAI 2024.
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About this book
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.
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
- explainable Artificial Intelligence
- Ante-hoc approaches for interpretability
- Auto-encoders & explainability of latent spaces
- Case-based explanations for AI systems
- Graph neural networks for explainability
- Interpreting & explaining Convolutional Neural Networks
- Interpretable representational learning
- Model-specific vs model-agnostic methods for XAI
- Human rights for explanations in AI systems
- Neuro-symbolic reasoning for XAI
Table of contents (25 papers)
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Front Matter
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XAI for Graphs and Computer Vision
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Front Matter
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Logic, Reasoning, and Rule-Based Explainable AI
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Front Matter
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Model-Agnostic and Statistical Methods for eXplainable AI
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Front Matter
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Other volumes
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Explainable Artificial Intelligence
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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: Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II
Editors: Luca Longo, Sebastian Lapuschkin, Christin Seifert
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-031-63797-1
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 2024
Softcover ISBN: 978-3-031-63796-4Published: 10 July 2024
eBook ISBN: 978-3-031-63797-1Published: 09 July 2024
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XVII, 514
Number of Illustrations: 19 b/w illustrations, 140 illustrations in colour
Topics: Artificial Intelligence, Natural Language Processing (NLP), Computer Applications, Computer Communication Networks