Building AI Decision Audit Trails: What the UN AI Hub Means for Developers

Building AI Decision Audit Trails: What the UN AI Hub Means for Developers Korea just signed an LOI with 6 UN agencies (WHO, ILO, ITU, IOM, WFP, UNDP) to build a Global AI Hub. Gartner says the AI governance platform market hits $1B by 2030. TL;DR for devs : If your AI system makes decisions, you'll increasingly need to prove those decisions — with immutable, auditable records. Here's what that looks like in code. The Problem Regulators don't ask "did you test for bias?" They ask: "On March 15 at 14:00, what was the basis for this AI's decision about user X?" Model cards and bias reports don't answer this. You need runtime decision evidence . What an AI Decision Record Looks Like interface DecisionRecord { // WHO made the decision actor : { systemId : string ; // AI system identifier modelVersion : string ; // e.g., "gpt-4o-2026-03" operator : string ; // human-in-the-loop or "autonomous" }; // WHAT was decided decision : { action : string ; // e.g., "loan_approved", "content_flagged"