AI governance for Public sector
Industry · Public sector
AI governance for public-sector organisations, grounded in real workflows
For public sector, public accountability starts with a clear purpose and owner. The DUBSAR journey is designed to begin with identifiable use, then apply policy only to the selected flows that actually pass through its Gateway.
In 30 seconds
What AI governance means for public sector.
- Question addressed
- Which public sector workflow should be controlled first?
- Next decision
- Choose one bounded workflow, name its owner and define its permitted data and provider route.
- Declared limit
- DUBSAR is designed to organise policies and evidence for connected public sector workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
Current DUBSAR status
A sector-specific control approach, not sector certification
DUBSAR is designed to organise policies and evidence for connected public sector workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
AI governance for Public sector
Public accountability starts with a clear purpose and owner
A public body must be able to explain why AI is used, which people may be affected, which route handles the data and who remains accountable.
Internal drafting, citizen communication and eligibility decisions should not share an undifferentiated policy simply because they use the same model.
AI governance for Public sector
Make routes, exceptions and human authority reviewable
A connected DUBSAR route is designed to enforce the selected traffic policy and retain bounded evidence, while procurement, impact assessment and statutory duties remain with the public body.
- Name the service owner and public purpose
- Approve providers and regions
- Require human authority for consequential decisions
- Publish or retain transparency evidence as required
AI governance for Public sector
Choose a use case with clear public value and limited impact
Begin with an internal or informational workflow whose boundaries can be explained. Prove the route and controls before considering higher-impact services.
The record should state which policy applied, what remained outside DUBSAR and whether the output informed or determined a public decision.
External sources
Check the official sources and current product claims.
Frequently asked questions
What to know before going further.
Does DUBSAR certify AI use for public sector?
No. DUBSAR is designed to apply policies and organise evidence on connected flows; it does not provide sector certification or legal advice.
Where should a public sector organisation begin?
With one bounded workflow, a named owner and an explicit list of permitted data, providers and human decisions. Wider coverage should follow only after that route has been tested.
Read next
Continue with another DUBSAR guide.
The portal remains in private testing. These guides explain what DUBSAR is proving — and what it does not yet claim.