Curated guides, checklists, references and starting points for responsible AI in official statistics. These resources are intentionally practical and can be expanded into fuller guides over time.

Responsible AI checklist for official statistics

Start with purpose, data quality, privacy, bias, transparency, validation, human oversight, documentation and public trust.

Related topic

Source-grounded monitoring

Track AI developments through original sources, methodological documentation, institutional guidance and reproducible notes.

Read the monitor

Quality assurance template

A future place for documenting assumptions, validation checks, known limitations and operational controls.

Related method

RSS subscription

Follow new updates on AI tools, methods and governance for official statistics.

Subscribe via RSS

Evidence and governance

Responsible AI and quality assurance

Topic group