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

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Davide Calvaresi, Amro Najaar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Simona Tiribelli, Kary Främling (a cura di)
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 15939
Springer
ottobre 2025

This volume constitutes the papers of several workshops which were held in conjunction with the 7th International Workshop on Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, EXTRAAMAS 2025, in Detroit, MI, USA, during May 19–20, 2025.

The 13 full papers presented in this book were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: User-centric XAI; XAI and Reinforcement Learning; Neuro-symbolic AI and Explainable Machine Learning; and XAI & Ethics.

parole chiaveMulti-Agent Systems • Computing most probable explanation • Machine Learning • Law, Social and Behavioral Sciences • Artificial Intelligence • Knowledge Representation and Reasoning • Rule Learning
evento origine
worldEXTRAAMAS 2025@AAMAS 2025
rivista o collana
book Lecture Notes in Computer Science (LNCS)
funge da
pubblicazione contenitore per
page_white_acrobatPreface (editoriale/introduzione/prefazione, 2025) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Kary Främling