AI assurance : towards trustworthy, explainable, safe, and ethical AI /

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or de...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Batarseh, Feras (Editor), Freeman, Laura June (Editor)
Format: eBook
Language:English
Published: Amsterdam : Academic Press, [2023]
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Call Number: Q335 .A33 2023
 
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Q335 .A33 2023 Available