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Decision users · Public sector

AI Governance Ratings for Government

Public-sector AI governance requires accountability, traceability, rights protection, records, security and transparent review of consequential systems.

What Government needs from an AI governance signal

Public institutions carry obligations that extend beyond internal enterprise risk. Governance must support lawful authority, public accountability, transparency, rights protection, procurement controls, records and review of consequential automated systems.

Accountability

Named authority and responsibility for deployment and material decisions.

Public evidence

Records, transparency mechanisms and contestability appropriate to the use case.

Lifecycle control

Procurement, change, monitoring, incident response and retirement.

Use ratings as one layer of evidence

A governance rating should complement due diligence, legal analysis, technical evaluation, audit, certification and sector-specific review where those are required. The value of the rating is its bounded interpretation of governance evidence—not a claim to replace other forms of assurance.

Questions to ask

  • What exactly was rated?
  • Which methodology version and jurisdiction were applied?
  • What evidence period supports the opinion?
  • Were any critical deficiencies or conditions open?
  • When does the rating expire or require re-review?