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Designing the Conceptual Landscape for a XAIR Validation Infrastructure

By Fadi Al Machot

Designing the Conceptual Landscape for a XAIR Validation Infrastructure

0 - Default Title
Description
This book focuses on explainable-AI-ready (XAIR) data and models, offering a comprehensive perspective on the foundations needed for transparency, interpretability, and trust in AI systems. It introduces novel strategies for metadata structuring, conceptual analysis, and validation frameworks, addressing critical challenges in regulation, ethics, and responsible machine learning. Furthermore, it highlights the importance of standardized documentation and conceptual clarity in AI validation, ensuring that systems remain transparent and accountable. Aimed at researchers, industry professionals, and policymakers, this resource provides insights into AI governance and reliability. By integrating perspectives from applied ontology, epistemology, and AI assessment, it establishes a structured framework for developing robust, trustworthy, and explainable AI technologies.
Product details
Binding:
Paperback
Number of Pages:
200
Release Date:
2025-05-16
Publication Date:
2025-05-16
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031892739
ISBN13:
9783031892738
GPSR Manufacturer Reference:
[email protected]
Weight:
312 g
Height:
15.5 cm
Width:
23.5 cm
Thickness:
1.2 cm
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