Speaker
Description
Users increasingly expect to “talk to statistics” in plain language, yet official statistics must remain authoritative, confidential, and fully verifiable. The Statistical Office of the Republic of Serbia (SORS) is addressing this challenge by developing and rolling out an AI dissemination chatbot on its official channels (www.stat.gov.rs and data.stat.gov.rs) with a clear trust-first design: public, SDC-protected content only, transparent referencing, and no tolerance for invented indicators or sources.
Our contribution shares a practical blueprint for aligning GenAI with statistical standards and enterprise architecture, and for deploying it in phases with explicit evaluation gates. The initial release focuses on what brings immediate user value with minimal risk: an “intelligent navigator” that understands questions in Serbian (both scripts) and English, and directs users to the most relevant official tables, indicators and publications keeping the dissemination system as the single source of truth.
Subsequent phases, subject to successful evaluation and management approval, extend capabilities toward controlled cross-dimensional exploration and carefully governed numeric summaries still fully traceable to published outputs.
We end by summarizing what it takes to turn GenAI into a high-value user service reliable quality, secure deployment, and controlled cost and usage and by identifying where standards, metadata discipline, and concept management must evolve to support large-scale adoption.
