Trustworthy AI Systems by Vaishnavi Gudur (.ePUB)+
File Size: 16.7 MB
Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications by Vaishnavi Gudur, Bishwajeet Pandey, Advait Patel
Requirements: .ePUB, .PDF reader, 16.7 MB | True PDF, True EPUB
Overview: 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. Artificial Intelligence has been growing and developing at an exponential rate. It has been reshaping social structures across various domains and transforming industries. It is no longer confined to scientific labs or very specific uses. Today, it is a term used in nearly every sector and vertical, from healthcare and finance to transportation, education, governance, entertainment, and even travel. Efficiency and innovation have significantly increased due to this integration. But just as every coin has two sides, this innovation also raises serious concerns about how fair, transparent, accountable, private, and safe these systems really are.
Genre: Non-Fiction > Tech & Devices
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