AI Safety & Governance Specialist

The journey

1. What you learn

   1. The real harm surface of an AI system, mapped without hype or dismissal
   2. Risk and threat modelling for systems that behave probabilistically
   3. Policy that can actually be enforced, and compliance that is evidenced
   4. Assurance that states plainly what it does not cover

2. What you will understand

   1. Governance theatre, and why it is worse than no governance at all
   2. Fairness as a value laden choice rather than a single number
   3. A green evaluation result is a bounded claim, not a guarantee
   4. Independence, and what it costs when the answer is inconvenient

3. What you will build

   1. A governance package with enforceable policy and a real compliance evidence chain
   2. An assurance engagement with coverage boundaries stated on every result
4. 1. The proof you build

      Evidence that you can make an organisation AI demonstrably responsible and say so honestly when it is not.

      See how proof works