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Author:   Riccardo Guidotti ,  Ute Schmid ,  Luca Longo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032083326

ISBN 10:   303208332
Pages:   414
Publication Date:   19 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Applications of XAI.- Global Explanations of Expected Goal Models in Football.- Comprehensive Explanations Using Natural Language Queries.- A Human-in-the-Loop Approach to Learning Social Norms as Defeasible Logical Constraints.- A Cautionary Tale About ''Neutrally'' Informative AI Tools Ahead of the 2025 Federal Elections in Germany.- Human-Centered XAI & Argumentation.- Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and their Comparison with Decision Trees.- Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI.- Explanations for Medical Diagnosis Predictions Based on Argumentation Schemes.- Spectral Occlusion - Attribution Beyond Spatial Relevance Heatmaps.- Non-experts' Trust in XAI is Unreasonably High.- Explainable and Interactive Hybrid Decision Making.- Exploring Annotator Disagreement in Sexism Detection: Insights from Explainable AI.- Can You Regulate Your Emotions? An Empirical Investigation of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making Factors.- When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making.- Understanding Disagreement Between Humans and Machines in XAI: Robustness, Fidelity, and Region-Based Explanations in Automatic Neonatal Pain Assessment.- On Combining Embeddings, Ontology and LLM to Retrieve Semantically Similar Quranic Verses and Generate their Explanations.- Uncertainty in Explainable AI.- Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification.- Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models.- Explaining Low Perception Model Competency with High-Competency Counterfactuals.- Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators.

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