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Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems : 7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19–20, 2025, Revised Selected Papers / edited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Simona Tiribelli, Kary Främling.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
Springer Nature - Springer Computer Science eBooks 2026 English International- Format:
- Book
- Author/Creator:
- Calvaresi, Davide.
- Series:
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 15936
- Language:
- English
- Subjects (All):
- Machine learning.
- Compilers (Computer programs).
- Natural language processing (Computer science).
- Computer science.
- Computers, Special purpose.
- Multiagent systems.
- Machine Learning.
- Compilers and Interpreters.
- Natural Language Processing (NLP).
- Theory of Computation.
- Special Purpose and Application-Based Systems.
- Multiagent Systems.
- Local Subjects:
- Machine Learning.
- Compilers and Interpreters.
- Natural Language Processing (NLP).
- Theory of Computation.
- Special Purpose and Application-Based Systems.
- Multiagent Systems.
- Physical Description:
- 1 online resource (352 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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.
- Contents:
- 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
- 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.
- ISBN:
- 3-032-01399-2
- OCLC:
- 1547899554
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