Manufacturing Calibration
Public overview of UAIF-CAL-MANUFACT-v1.0; the operational package is controlled.
Purpose and scope
Industrial, production, quality, maintenance, supply-chain and worker-safety AI in manufacturing environments.
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-MANUFACT-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
Manufacturing AI directs physical machinery in shared human workspaces. Failures in safety-interlock logic, cobot proximity detection, AGV navigation, or process control can injure or kill workers and cause large-scale property and environmental damage. Worker safety is the dominant concern, followed by financial loss (downtime, recalls, liability) and property/environmental damage. OT/IT convergence widens the attack surface, making industrial-control integrity a leading vector.
1.1 Applicable Regulations
• EU AI Act — safety-component AI in regulated machinery [T1]
• EU Machinery Regulation 2023/1230; Product Liability Directive 2024/2853 [T1]
• IEC 61508 (functional safety); ISO 13849; ISO 10218 (robots/cobots) [T1]
• IEC 62443 (industrial automation & control security) [T1]
Extracted from the source sector profile. Detailed calibration and operational material remains controlled.
Public sector orientation
Representative classification concerns include worker safety, product quality, industrial control, predictive maintenance, supply chain, environmental impact and production continuity. 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.