Publisher's Synopsis
This comprehensive book covers the concept of trustworthy AI, which is an essential paradigm in today's AI-based system. It is designed for developers, researchers, and end-users seeking a deep understanding of how AI systems are ethical, reliable, and equitable. The book begins by addressing the principles of trustworthy AI and their importance in high-risk applications like healthcare, finance, autonomous vehicles, and law.
The core of this book is an exploration of the six principles of trustworthy AI, i.e. reliability, transparency, fairness, accountability, inclusiveness, privacy, and security. Each principle is thoroughly examined, demonstrating how they interact with AI systems to make them more efficient, and robust but also ethical, and equitable.
