This book was written for the people who are asked to review, approve, and answer for AI systems, not the people who build them. It replaces dense mathematics with plain language, everyday analogies, and documented real-world failures.
You never need to run a line of Python. You only need to understand what a model is doing, and where it can quietly go wrong.
Move past the checklist and learn the questions a model actually has to answer.
Understand data definitions, model choices, and where the real failure points sit.
Teachers, veterans, and returning professionals moving into GRC without a technical background.
Shift from bureaucratic sign-off to a genuine effective challenge mindset.
Senior GRC consultant and information system security officer. Her work spans government, healthcare, education, and financial services, and she has taught governance, risk, and compliance to professionals in more than 15 countries.
She wrote this book from both sides of the audit table, for the practitioners she has spent years training.
