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AI Assurance : Towards Trustworthy, Explainable, Safe, and Ethical AI
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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 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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 17 de octubre de 2022 |
| ISBN13 | 9780323919197 |
| Editores | Elsevier Science & Technology |
| Páginas | 600 |
| Dimensiones | 150 × 220 × 10 mm · 1,02 kg |
