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" input: Recor