TY  - BOOK
AU  - Longo, Luca.
TI  - Explainable Artificial Intelligence
SN  - 9783031440649
U1  - 6.3 
PY  - 2023///
CY  - Cham 
PB  - Springer Nature Switzerland 
KW  - Application software
KW  - Artificial intelligence
KW  - Artificial Intelligence
KW  - Computer and Information Systems Applications
KW  - Computer Communication Networks
KW  - Computer networks 
KW  - Natural language processing (Computer science)
KW  - Natural Language Processing (NLP)
N2  - This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: 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. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI
UR  - https://doi.org/10.1007/978-3-031-44064-9
ER  -