Calvaresi Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems

Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems

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7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19–20, 2025, Revised Selected Papers

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Beschreibung

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.


Autor*in

Davide Calvaresi

Themen in »Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems«

Multi-Agent Systems Computing most probable explanation Machine Learning Law, Social and Behavioral Sciences Artificial Intelligence Knowledge Representation and Reasoning Rule Learning

Stimmen zu »Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems«

Details

ISBN: 9783032013996
Verlag: Springer International Publishing
Erscheinung: 09.10.2025

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