AI Assurance

Towards Trustworthy, Explainable, Safe, and Ethical AI

602 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Academic Press
• ISBN: 9780323919197
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2022
• Größe: 235 x 191 mm
• Verlag: Elsevier Inc
• Herausgegeben von: Feras A. Batarseh, Laura Freeman