Explainable Artificial Intelligence

First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I
1. Auflage 2023
ISBN: 978-3-031-44063-2
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 1901, 692 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1072 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Longo, Luca

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

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.