The AI Governance Lab is an educational environment for assessing government AI use cases. Completing an educational assessment here does not mean an AI system is legally approved.
Lab Components
- AI use-case canvas
- Public-value assessment
- Institutional-readiness assessment
- Data-readiness assessment
- Risk classification
- Algorithmic impact assessment
- Vendor-claim verification
- Procurement checklist
- Bias review
- Explainability assessment
- Human-oversight map
- Citizen appeal design
- Incident reporting
- Audit log
- Policy template
- Implementation roadmap
Every government AI use case must document public purpose, legal authority, data source, affected population, risk level, potential bias, privacy risk, cybersecurity risk, human oversight, appeal route, audit mechanism, vendor responsibility, transparency requirement, and shutdown or rollback procedure.
Content Status: DRAFT / PROTOTYPE — AI Governance Lab. Educational assessment ≠ legal approval.
