Employment, Recruitment and HR Calibration
Public overview of UAIF-CAL-EMPLOY-v1.0; the operational package is controlled.
Purpose and scope
Recruitment, promotion, performance, worker monitoring, scheduling and termination AI.
The package calibrates UAIF classification for sector context without replacing the UAIF Technical Specification or applicable law.
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-CAL-EMPLOY-v1.0
- Version: v1.0 provisional
- Public scope and exclusions
- Method based on public regulatory material, research and recognised severity frameworks
- Known validation and legal-review limitations
Sector risk context
Employment AI affects recruitment, promotion, performance management, worker monitoring, scheduling, and termination. EU AI Act Annex III §4 classifies employment, worker-management, and access-to-self-employment AI as high-risk. The dominant harms are discrimination against protected groups, privacy violation through worker surveillance, psychological harm, and livelihood impact (loss of employment or income). Fundamental-rights and livelihood impacts are represented through the existing UAIF harm keys, not new core categories.
1.1 Applicable Regulations
• EU AI Act Annex III §4 — employment and worker management (high-risk) [T1]
• GDPR (incl. Art. 22 automated decisions) [T1]
• EEOC guidance (US); national equality/anti-discrimination law [T1]
• India DPDP Act 2023; applicable labour law [T1]
Extracted from the source sector profile. Detailed calibration and operational material remains controlled.
Public sector orientation
Representative classification concerns include recruitment, promotion and termination, monitoring, worker privacy, discrimination, explanation and contestability. 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 validation result, regulatory approval, certification status, universal sector applicability or legal-reporting determination is claimed.