Review Questions & Case Scenarios by Kai London
Knowing the framework and being able to apply it under pressure are different skills. This volume tests the second one — structured questions and realistic scenarios at practitioner, audit and board level, each with the reasoning behind the answer rather than just the answer.
Available on Amazon.
What is inside
Practitioner questions
Control design, architecture and operational judgement for the people doing the work.
Audit questions
What an assessor asks, what constitutes sufficient evidence, and where programmes typically fail a review.
Board-level questions
The questions directors should be asking about AI, and what a good answer sounds like.
Case scenarios
Realistic situations — a failed model, an unapproved deployment, a supplier incident — worked through to a decision.
Answers with reasoning
Each answer explains why the alternatives are weaker, which is where the learning actually sits.
Self-assessment use
Using the question set to find the gaps in a live programme rather than only to prepare an individual.
Who it is for: practitioners consolidating their knowledge, internal auditors and assessors, trainers and team leads running development sessions, and boards preparing to scrutinise an AI programme.
You do not know the programme until you have been asked the awkward question about it.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.