Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems (Paperback)

Davide Calvaresi

ISBN 10: 3032013984 / ISBN 13: 9783032013989

Published by Springer Nature Switzerland AG, Cham, 2025

About this Item

Paperback. This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: AI interpretation & social dimensions; LLMs & generative AI in XAI; agent architectures & inter-agent explainability; and human-XAI interaction, quality & ethics. This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783032013989

Bibliographic Details

• Title: Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems (Paperback)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2025
• Language: English
• ISBN 10: 3032013984
• ISBN 13: 9783032013989
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.

The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: AI interpretation & social dimensions; LLMs & generative AI in XAI; agent architectures & inter-agent explainability; and human-XAI interaction, quality & ethics.