SRAIStatistics · Reasoning · AI

SRAI OFFICIAL STATISTICS & AI PATHWAY

Pathway modules

Institution-centred learning units combining statistical assurance, responsible AI, applied laboratories and implementation tools.

MODULEA1

PUBLIC RELEASE · OS-A01 v1.0

The National Information Ecosystem

Map the actors, assets, data flows, user needs, coordination arrangements and risks that shape responsible AI adoption across a National Statistical System.

  • National information ecosystem diagnostic
  • Synthetic Kintaba laboratory and datasets
  • Mapping toolkit for institutional application
Review Module A1
MODULEA2

LOCAL PUBLICATION CANDIDATE · OS-A02 v1.0

AI Concepts for Official Statisticians

Build a rigorous working language for artificial intelligence, connect AI methods to official-statistics tasks, and define the evidence, controls and professional accountability required for use.

  • AI task and technology classification
  • Executable Kintaba classification laboratory
  • Statistical assurance and human accountability
Review Module A2
MODULEA3

PUBLICATION CANDIDATE · OS-A03 v0.2

Professional Obligations

Apply impartiality, confidentiality, transparency, quality and accountability to contested AI-assisted statistical work. Produce a defensible professional judgement memorandum.

  • Five obligations and accountable decision authority
  • Executable synthetic Kintaba scenario laboratory
  • Practice exercises with downloadable solutions
Review Module A3

Additional modules will extend the pathway from institutional readiness through governed use-case selection, controlled pilots, statistical assurance and sustainable implementation.