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

7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19-20, 2025, Revised Selected Papers
Herausgegeben:Calvaresi, Davide; Najjar, Amro; Omicini, Andrea; Aydogan, Reyhan; Carli, Rachele; Ciatto, Giovanni; Tiribelli, Simona; Främling, Kary

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 15936
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89552411, 978-3-032-01398-9
• Seitenzahl: 240
• Erscheinungstermin: 10. September 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032013989
• ISBN-10: 3032013984
• Artikelnr.: 74790363

Inhaltsangabe

AI Interpretation & Social Dimensions.- Enhancing Surrogate Decision Trees for Reinforcement Learning with Feature Importance Matrices.- Exploiting Constraint Reasoning to Build Graphical Explanations for Mixed-Integer Linear Programming.- Explaining Autonomous Vehicles with Intention-aware Policy Graphs.- Social Explainable AI: What Is It and How to Make It Happen with CIU?- LLMs & Generative AI in XAI.- Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs.- LLM-based Evaluation Methodology of Explanation Strategies.- LLM-based Evaluation Methodology of Explanation Strategies.- Agent Architectures & Inter-Agent Explainability.- Ladder of Intentions: Unifying Agent Architectures for Explainability and Transferability.- Engineering Inter-Agent Explainability in BDI Agents.- Human-XAI Interaction, Quality & Ethics.- Beyond Satisfaction: From Placebic to Actionable Explanations For Enhanced Understandability.- Building a Decolonized AI Ethics and Governance Framework.- Balancing Ethical Persuasion and Explanation Transparency in XAI.- Designing for Effective Human-XAI Inter-action.