Lion Cipher Lab

Build an ISO/IEC 42001 AI management system (AIMS) and measure it

Why it matters

There are three different things people mean when they say 'AI governance', and mixing them up is why so many programmes produce paper nobody trusts. The NIST AI Risk Management Framework is a voluntary framework: a way of thinking, adopt as much as you like, nobody audits you. The EU AI Act is law: it applies whether you like it or not, and for high-risk systems it comes with a conformity assessment. ISO/IEC 42001:2023 is the third thing and the one almost nobody can describe — a management system standard, published in 2023, in the same family shape as ISO/IEC 27001 for information…

What you'll learn

Steps in this lab

  1. What ISO/IEC 42001 actually is — and the four words you need first
  2. Open a terminal and make a working folder (zero-assumption setup)
  3. Clause 4 — context, scope, interested parties, and the AI role determination
  4. Clause 5 — leadership, the AI policy, and who is actually accountable
  5. Clause 6, part one — the AI RISK assessment (what could go wrong for US)
  6. Clause 6, part two — the AI SYSTEM IMPACT assessment (what it does to PEOPLE)
  7. Annex A and Annex B — selecting controls and writing the Statement of Applicability
  8. Clauses 7 and 8 — support, operation, and controlling a supplier's model
  9. Clause 9 — objectives, metrics that would actually fail, internal audit, management review
  10. Clause 10 — nonconformity, correction vs corrective action, improvement
  11. Write the measuring script — turn the SoA into a number
  12. Run it — the real first-pass report (79.2%, six findings)
  13. Clause 10 for real — close the findings, and watch the number go DOWN
  14. The crosswalk — 42001 vs NIST AI RMF vs the EU AI Act vs 23894 vs 27001
  15. When certification is worth the money — and when it is theatre
  16. How a pro does it differently
  17. Clean up, and what to take away

Open the full interactive lab →