Why AI risk deserves a dedicated method
AI introduces risks classic IT governance never had to manage: hallucinations presented as fact, hidden bias, data leakage through prompts, model drift, over-reliance by users. Treating AI like ordinary software misses most of them.
I bring a structured approach: build an AI risk register, assess likelihood and impact, define mitigations and controls, and assign clear ownership. You move from vague unease to a concrete, prioritised risk map you can actually act on.
Name the risk to manage it: most AI incidents trace back to a risk nobody had written down.