AI Assurance - by Feras A Batarseh & Laura Freeman (Paperback)

About the Book

This book 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. -- Publisher's description.

Book Synopsis

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.

Review Quotes

"The book's structure allows readers to appreciate the interconnectedness of the various aspects of AI assurance. The editors have thoughtfully curated content that demonstrates the intricate relationship between technical, ethical, and practical considerations. The chapters build upon one another, providing a comprehensive understanding of AI assurance while simultaneously allowing readers to explore specific topics in greater depth. One of the book's most striking features is its commitment to providing practical, real-world examples to illustrate the concepts discussed in each chapter.... a captivating scholarly book that offers a thought-provoking and comprehensive examination of AI assurance. We highly recommend this book to scholars, policymakers, industry practitioners, and anyone seeking to navigate the complex labyrinth of AI assurance. [It] has the potential to shape the future of AI development and implementation, ultimately ensuring a more ethical, safe, and beneficial integration of AI into our society." -- Jialei Wang (Shining3D Tech Co.) and Li Fu (Hangzhou Dianzi University), AI & Society, November 2023