Name: Explainable Artificial Intelligence: Second World Conference, xai 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part iii (Communications in Computer and Information Science) (en Inglés)
SKU: 62363846
Price: 101710.00 CLP
Availability: InStock
Author: Longo Luca,Lapuschkin Sebastian,Seifert Christin
ISBN: 9783031637995

portada Explainable Artificial Intelligence: Second World Conference, xai 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part iii (Communications in Computer and Information Science) (en Inglés)

Explainable Artificial Intelligence: Second World Conference, xai 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part iii (Communications in Computer and Information Science) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Longo Luca,Lapuschkin Sebastian,Seifert Christin

Idioma

Inglés

N° páginas

456

Encuadernación

Tapa Blanda

ISBN13

9783031637995

N° edición

2024th

Explainable Artificial Intelligence: Second World Conference, xai 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part iii (Communications in Computer and Information Science) (en Inglés)

Longo Luca,Lapuschkin Sebastian,Seifert Christin (Autor) · Springer · Tapa Blanda

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Reseña del libro "Explainable Artificial Intelligence: Second World Conference, xai 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part iii (Communications in Computer and Information Science) (en Inglés)"

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.