Government AI and Public Services Calibration
Public, searchable overview of UAIF-SCP-006 v1.0. The detailed operational package remains a controlled commercial publication.
Purpose and scope
AI used by public bodies and public-service providers for eligibility, benefits, licensing, taxation, enforcement, public safety, resource allocation, case management, procurement, citizen services, public-sector employment, and related administrative decisions.
This package calibrates incident classification under the Unified AI Incident Framework (UAIF™) v1.0. It does not replace UAIF, applicable law, a safety-management system, or an organisation's emergency and incident-response procedures.
Status and validation boundary
Version 1.0 is provisional pending empirical inter-rater validation. The source document states that provisional weights must not be used as the sole basis for regulatory reporting, certification or consequential decisions.
Public information
- Document reference: UAIF-SCP-006
- Version: v1.0, publication edition dated 14 July 2026
- Calibration status: provisional; empirical sector validation is not complete
- Publisher: ODA3 Institute; legal entity: ODA3 Pvt Ltd
- Governing framework: Unified AI Incident Framework (UAIF™) v1.0
Sector risk context
Government AI can affect rights, due process, access to essential services, equal treatment, transparency, public records, democratic accountability, and the ability to contest or remedy a decision. Supplier responsibility and accountable human authority remain central classification concerns.
This overview intentionally excludes controlled calibration weights, scoring parameters, worked cases, validation instruments, evidence datasets and machine-readable implementation artefacts.
Regulatory and operational routing
Potential routes include administrative and constitutional review, equality and accessibility law, privacy and data-protection duties, public-records obligations, procurement controls, the EU AI Act where applicable, and sector-specific notification requirements. Each route requires independent legal assessment.
Public sector orientation
Representative classification concerns include due process, eligibility and public-service access, rights impact, transparency, procurement, records and accountable human authority. These themes help teams scope incident intake and analysis; they are not calibration weights, legal conclusions or an exhaustive risk list.
Use with the UAIF layers
- Establish incident identity, provenance and remediation state.
- Separate cause, manifestation, acute harm and chronic-harm proxies.
- Apply severity and context logic with the provisional calibration status visible.
- Record sector and jurisdiction metadata for human review and routing.
- Preserve uncertainty, contrary evidence and the version of every referenced artifact.
Controlled resource
The detailed package, calibration weights, scoring implementation, evidence logic and maintenance material are confidential commercial resources governed by UAIF-LIC-003 and applicable GEL terms.
Notably Absent
No empirical sector validation, government endorsement, legal-authority determination, certification, or permission to reproduce controlled weights, decision logic, assessment material, worked cases or machine-readable artefacts is claimed.