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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1379297648
Titel Explainable Artificial Intelligence : Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part V / edited by Riccardo Guidotti, Ute Schmid, Luca Longo
Person(en) Guidotti, Riccardo (Herausgeber)
Schmid, Ute (Herausgeber)
Longo, Luca (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XIX, 414 p. 124 illus., 103 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-08332-6
Printed edition:: ISBN: 978-3-032-08334-0
Inhalt 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
Persistent Identifier URN: urn:nbn:de:101:1-2510190406321.454567167744
DOI: 10.1007/978-3-032-08333-3
URL https://doi.org/10.1007/978-3-032-08333-3
ISBN/Einband/Preis 978-3-032-08333-3
Sprache(n) Englisch (eng)
Beziehungen Communications in Computer and Information Science ; 2580
Sachgruppe(n) 004 Informatik

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