Explainable Artificial Intelligence
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III
Seiten
2023
|
1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-44069-4 (ISBN)
Springer International Publishing (Verlag)
978-3-031-44069-4 (ISBN)
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.
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.
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.
Erscheinungsdatum | 21.10.2023 |
---|---|
Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | XVII, 540 p. 225 illus., 186 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 848 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | argumentative-based approaches for explanations • Artificial Intelligence • causal inference & explanations • convolutional neural networks • decomposition of neural network-based models for XAI • explainability • interpretable machine learning • natural language processing for explanations • Neural networks • reinforcement learning for enhancing XAI |
ISBN-10 | 3-031-44069-2 / 3031440692 |
ISBN-13 | 978-3-031-44069-4 / 9783031440694 |
Zustand | Neuware |
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