
AI is making decisions that shape people's lives — who gets a loan, what a scan reveals, who gets released on bail — often without anyone able to explain why. Trustworthy and Explainable AI is a clear, comprehensive guide to the methods, debates, and regulations reshaping how we build AI systems that are transparent, reliable, and accountable. From interpretable models to cutting-edge mechanistic interpretability, this book equips technical and non-technical readers alike to understand — and demand better from — the black boxes running modern life.