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Designing the Conceptual Landscape for a XAIR Validation Infrastructure: Proceedings of the International Workshop on Designing the Conceptual Landscape for a XAIR Validation Infrastructure, DCLXVI 2024, Kaiserslautern, Germany.
・ISBN 978-3-031-89273-8 paper EUR 159.99
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| 著者・編者 | Al Machot, Fadi / Horsch, Martin T. / Scholze, Sebastian (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Networks and Systems) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 193 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-2229＞ |
解説
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.