Practical writing on data ethics & responsible AI

Three threads run through everything published here:

• Ethics in practice, not in theory. How principles translate into governance decisions, vendor contracts, model cards, and the hard tradeoffs that come up at design time.
• EU AI Act & GDPR, applied. Working interpretations of obligations that are still being clarified, with named precedents from supervisory authorities and the EU Commission.
• Risk, trust, and competitive advantage. Why organisations that take ethics seriously earn better data, better partners, and better outcomes than those that treat it as a compliance overhead.