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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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Amsterdam :
Academic Press,
[2023]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 deploying AI to a domain-specific problem (such as allocating cyber breaches, analyzing causation at a smart farm, reducing readmissions at a hospital, ensuring soldiers' safety in the battlefield, or predicting exports of one country to another) will benefit from the methods presented in this book. As AI assurance is now a major piece in AI and engineering research, this book will serve as a guide for researchers, scientists and students in their studies and experimentation. Moreover, as AI is being increasingly discussed and utilized at government and policymaking venues, the assurance of AI systems-as presented in this book-is at the nexus of such debates. |
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| Physical Description: | 1 online resource (xxii, 568 pages) : illustrations |
| Bibliography: | Includes bibliographic references and index. |
| ISBN: | 9780323919197 0323919197 9780323918824 0323918824 |