Explainable Artificial Intelligence

First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II

Buch | Softcover

XVIII, 664 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-44066-3 (ISBN)

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Chapters "Finding Spurious Correlations with Function-Semantic Contrast Analysis" and "Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Surveys, benchmarks, visual representations and applications for xAI.- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks.- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.

Erscheinungsdatum	21.10.2023
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	XVIII, 664 p. 193 illus., 176 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1032 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	argumentative-based approaches for explanations • Artificial Intelligence • causal inference & explanations • convolutional neural networks • decomposition of neural network-based models for XAI • explainability • interpretable machine learning • natural language processing for explanations • Neural networks • reinforcement learning for enhancing XAI
ISBN-10	3-031-44066-8 / 3031440668
ISBN-13	978-3-031-44066-3 / 9783031440663
Zustand	Neuware