Explainable Artificial Intelligence

Explainable Artificial Intelligence

by Luca LongoSebastian Lapuschkin and Christin Seifert
Epub (Kobo), Epub (Adobe)
Publication Date: 02/08/2024

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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.

ISBN:
9783031638039
9783031638039
Category:
Artificial intelligence
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
02-08-2024
Language:
English
Publisher:
Springer Nature Switzerland

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