Responsible AI & Governance
A practical grounding in responsible AI, built on the NIST AI Risk Management Framework, the EU AI Act, and the OECD and UNESCO principles.
Bias: where it comes from and what to do
Bias is not usually malice — it is inherited An AI system learns from data produced by people and institutions. If the past was skewed, the model learns the skew. This is why fairness is treated as a first-class risk in every major framework, not an afterthought. Three places bias enters The data. If a […]
The questions worth asking every time
Responsible AI is a habit, not a document Most organisations write principles and then struggle to connect them to Tuesday. The connection is a short set of questions asked routinely — in the meeting where someone proposes a tool, not in an annual review. The six Who is affected by this, and were they asked? […]