Название: Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications
Автор: Vaishnavi Gudur, Bishwajeet Pandey, Advait Patel
Издательство: Springer
Год: 2026
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 16.7 MB

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.

Trustworthy AI is now a crucial requirement as AI systems become more prevalent. The way AI is developed and deployed reflects a shift toward Trustworthy AI that goes beyond just a technical requirement. This surpasses traditional measures of AI performance. It is moving toward an ecosystem that incorporates ethical considerations and human values into every stage of the AI lifecycle, while also adhering to legal standards, including social norms. To understand what trustworthy AI means, we first need to recognize why trust is essential for AI systems and identify the core principles that make these systems genuinely trustworthy.