Secure AI adoption – rolling out AI without the risk
Secure AI adoption means putting AI into a business through a controlled route with 5 key elements – a defined use case, a named owner, a documented data flow, tested controls and a plan for what happens after go-live. The aim is to take the value without inheriting the exposure, while moving fast enough that […]
AI risk management: framework, checklist and pitfalls
AI risk management is the repeating process of identifying what could go wrong with an AI system, working out how bad it would be and how often it could happen, deciding what to do about it, and checking afterwards whether the decision held. It is the same discipline as any other risk management. What changes […]