Canonical lesson
Study the complete statistical and institutional framework.
Open PDF ↗OFFICIAL STATISTICS & AI · OS-A01
The National Information Ecosystem
Understand the institutional system in which official statistics are produced, exchanged, governed and used—before selecting or deploying artificial intelligence.
01 / LEARNING OUTCOME
See the system before automating any part of it.
Identify institutions, mandates, information assets, flows, user needs, coordination mechanisms and material risks; then distinguish credible AI opportunities from proposals that lack the necessary evidence, governance or data foundations.
02 / ECOSYSTEM DIAGNOSTIC
Connect six evidence domains in one institutional map.
- 01
Institutions and mandates
Identify producers, custodians, regulators, users and accountable authorities.
- 02
Information assets
Assess coverage, quality, accessibility, metadata and fitness for purpose.
- 03
Data flows
Trace exchanges, dependencies, delays, agreements and critical failure points.
- 04
User needs
Connect statistical supply to decisions, unmet demand and evidence gaps.
- 05
Coordination
Examine forums, standards, stewardship and institutional incentives.
- 06
Risks and AI opportunities
Prioritize bounded applications while recording safeguards and assurance needs.
03 / VIDEO LESSON
The National Information Ecosystem
Follow the revised Module A1 lesson on statistical information ecosystems, effective AI assistance, independent verification and professional accountability.
Open the lesson on YouTube ↗04 / LEARNING RESOURCES
Public resources for study, practice and institutional application.
Learner-facing materials are provided from the controlled OS-A01 release. Facilitator-only guidance and explained solutions remain outside this public resource set.
Executive brief
Use the leadership decision guide.
Open PDF ↗Learner guide
Prepare for the lesson and four practical workflows.
Open PDF ↗Teaching presentation
Review the 30-slide visual lesson.
Open PDF ↗Executable notebook package
Run the four practicals with included synthetic evidence.
Download package ZIP ↗Data and supporting resources
Inspect the synthetic case data, schema and provenance.
Download package ZIP ↗Practice exercises
Complete the learner workbook without answer keys.
Open PDF ↗Learner assessment brief
Document evidence of professional competence.
Open PDF ↗Ecosystem mapping toolkit
Apply the controlled workbook to an institutional setting.
Open workbook ↗05 / PATHWAY CONTINUITY
Institutional diagnosis is the first control in responsible AI adoption.
Later modules build on this evidence base to assess readiness, identify use cases, design controlled pilots, apply statistical assurance and institutionalize sustainable governance.
Return to the pathway →