Global Network AI Webinar Series

Overview

This five-session webinar series helps the official statistics community build a practical, structured understanding of how AI applies to national statistical systems—moving past general discussion to the real implications for producing and sharing official data. The sessions trace AI across the data lifecycle: adopting AI inside a national statistical office, using privacy-enhancing technologies like synthetic data and federated learning to extract value from sensitive data while protecting it, rethinking data sovereignty as operational control rather than geography, building AI capacity for statistical production, and safeguarding trust in how AI-powered tools disseminate official data. Drawing on candid experiences from statistical offices in France, the Netherlands, Canada, Ireland, and beyond, the series is aimed at a broad audience—from technical specialists to managers and policymakers—and surfaces shared lessons around governance, data quality, institutional capacity, and international cooperation. A recurring theme runs throughout: the technology is only one part of the transition, and the harder, more essential work is institutional—governance, trust, skills, and coordination.