Responsible AI Is Not a Project. It’s an Operating Model. Most organisations treat responsible AI as an undertaking with a start, an end and a sign-off. At the end there is an audit, a certificate, a folder. None of that is wrong — it is simply incomplete. A certificate documents a date. An AI system…
Algorithmic Fairness in Underwriting and Scoring — What Prudential Validation Does Not Test For actuarial functions, credit risk modelling and model validation: which fairness metrics apply to a real scoring or pricing model, why they contradict one another, and why the exercise need not fail on the fact that you are not permitted to hold…
Where the AI Act Goes Beyond Your Existing Model Risk Management A cross-border reading for risk control and validation functions at banks and insurers across the EU. What prudential validation already covers — and what the AI Act adds, wherever in the Union you sit. “We have functioning model risk management. What we don’t have…
ISO 42001 in Plain Language: What AI Management System Certification Actually Means A standard that is frequently misunderstood When ISO/IEC 42001:2023 comes up in conversation, the most common reaction from executives is something like: “Good — so if we get certified, our AI is compliant?” That is a reasonable assumption. It is also wrong in…
From Research to Regulation: How the science of AI Fairness shaped the EU AI Act The EU AI Act did not appear from nowhere. It is, in significant part, the legislative crystallization of a decade of academic work on algorithmic fairness — work that began in computer science and statistics, spilled into public discourse through…
