Explainable Artificial Intelligence
Springer International Publishing (Verlag)
978-3-032-08332-6 (ISBN)
This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025.
The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers are organized in the following topical sections:
Volume I:
Concept-based Explainable AI; human-centered Explainability; explainability, privacy, and fairness in trustworthy AI; and XAI in healthcare.
Volume II:
Rule-based XAI systems & actionable explainable AI; features importance-based XAI; novel post-hoc & ante-hoc XAI approaches; and XAI for scientific discovery.
Volume III:
Generative AI meets explainable AI; Intrinsically interpretable explainable AI; benchmarking and XAI evaluation measures; and XAI for representational alignment.
Volume IV:
XAI in computer vision; counterfactuals in XAI; explainable sequential decision making; and explainable AI in finance & legal frameworks for XAI technologies.
Volume V:
Applications of XAI; human-centered XAI & argumentation; explainable and interactive hybrid decision making; and uncertainty in explainable AI.
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.-
| Erscheinungsdatum | 19.10.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XIX, 414 p. 124 illus., 103 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Ante-hoc approaches for interpretability • argumentative-based approaches for explanations • Artificial Intelligence • Auto-encoders & explainability of latent spaces • Black-boxes vs white-boxes • Case-based explanations for AI systems • causal inference & explanations • decomposition of neural network-based models for XAI • Explainable Artificial Intelligence • Graph neural networks for explainability • interpretable machine learning • Interpretable representational learning • Interpreting & explaining Convolutional Neural Networks • machine learning • Model-specific vs model-agnostic methods for XAI • natural language processing for explanations • Neuro-symbolic reasoning for XAI • open access • Post-hoc methods for explainability • Pruning methods with XAI |
| ISBN-10 | 3-032-08332-X / 303208332X |
| ISBN-13 | 978-3-032-08332-6 / 9783032083326 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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