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Beschreibung
This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust.
Engineering Secure, Scalable, and Responsible Intelligence for Real Applications
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 22. Februar 2026 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 639 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783032156051 |
| Seiten | 298 |
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