Explainable Artificial Intelligence | First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III

Luca Longo

ISBN 10: 3031440692 / ISBN 13: 9783031440694

Published by Springer, 2023

About this Item

Explainable Artificial Intelligence | First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III | Luca Longo | Taschenbuch | xvii | Englisch | 2023 | Springer | EAN 9783031440694 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 127412414

Bibliographic Details

• Title: Explainable Artificial Intelligence | First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III
• Publisher: Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031440692
• ISBN 13: 9783031440694
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 30D millimeters 235 millimeters width by 155 millimeters height by 30 millimeters depth
• Weight: 838 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.