Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications

Gudur, Vaishnavi; Pandey, Bishwajeet; Patel, Advait

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.

Details

Published by: Springer

Publication Date: 2026-02-22

Format: Hardcover

ISBN-13: 9783032156051

DOI: 10.1007/978-3-032-15606-8

Dimensions: 235cm x155cm

Pages: 298