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

8th International Workshop, EXTRAAMAS 2026, Paphos, Cyprus, May 25–26, 2026, Revised Selected Papers

Medium: Buch
ISBN: 978-3-032-38435-5
Verlag: Springer
Erscheinungstermin: 20.11.2026
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This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, EXTRAAMAS 2026, held in Paphos, Cyprus during May 25–26, 2026.

The 20 full papers and 2 short paper included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: Foundations & Limits of Explainability in Agentic Systems; Trust, Ethics, and Human-Centred Explainable AI; Methods for Explainability: Argumentation, Learning, and Hybrid AI; Systems and Applications of Explainable Multi-Agent Systems.

Produkteigenschaften

  • Artikelnummer: 9783032384355
  • Medium: Buch
  • ISBN: 978-3-032-38435-5
  • Verlag: Springer
  • Erscheinungstermin: 20.11.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Artificial Intelligence
  • Produktform: Kartoniert
  • Seiten: 439
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

.- Foundations & Limits of Explainability in Agentic Systems.
.- Making AI Memory Transparent: Explainability for Persistent State in Agentic Systems.
.- Predicting the Cost of Explanations in Optimisation Problems.
.- The Illusion of Explainability with LLMs and LLM-Agents.
.- Explainable Agentic Oversight: A Multi-Agent System for Transparent Groundwater Regulatory Decision Support.
.- Trust, Ethics, and Human-Centred Explainable AI.

.- Social Dynamics of Trust Formation in XAI Systems: A Multi-Agent Approach.
.- Perceived Trustworthiness of Large Language Models and Attitudes Toward Them: Differences by Gender, Age, and Culture.
.- Auditing LLM Multi-Agent Systems via Protocolized Interaction Traces: A TradingAgents Case Study.
.- Bias Mitigation in Quantum Machine Learning: A Fairness Analysis of the COMPAS Dataset.
.- Designing a Trustworthy Intelligent Agent for Legal Reasoning with Logic Programming.
.- Shattering the Illusion of Formal Compliance: Digital Consent as an Explainable Socio-Technical Process.
.- Emergence of Secondary Norm from Distributed Interaction of Autonomous Agents.
.- Methods for Explainability: Argumentation, Learning, and Hybrid AI.
.- ArgMLLMs: Argumentative Multimodal Safety Judgements with Contestable Reasoning.
.- Towards Trustworthy Temporal Event Reasoning: A Formal Neuro-Symbolic Framework for Constraint-Aware and Provenance-Grounded Decision Support.
.- M2-PALE: A Framework for Explaining Multi-Agent MCTS–Minimax Hybrids via Process Mining and LLMs.
.- Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Interpretable Models.
.- Systems and Applications of Explainable Multi-Agent Systems.
.- Evolutionary Rule Extraction from Corporate Default Prediction Models.
.- User-Adapted and Interactive Explainability with Knowledge Graphs.
.- Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation.
.- Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory.
.- Talk2Prolog: from Controlled Natural Language to Prolog, Frugally and Explainably.
.- Toward Explanatory Equilibrium: Verifiable Reasoning as a Coordination Mechanism under Asymmetric Information.
.- Exploring Vision Features with Sparse Autoencoders: An Interactive Demo.