Batarseh F.A., Freeman L. AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI

London: Academic Press, 2022. — 602 p.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 on 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.