PM-002AltoProveedorDetective
Sistema de recogida de datos operativos
Los proveedores deben implantar un sistema de recogida y análisis de datos pertinentes sobre el rendimiento de los sistemas de IA de alto riesgo durante toda su vida operativa, incluidos los datos facilitados por los responsables del despliegue en el marco de sus obligaciones de cooperación.
Artículos:Article 72(1)Article 26(6)
Ejemplos de evidencia
- Data collection mechanism description
- Deployer data sharing agreement
- Operational telemetry architecture
Normas
ISO 42001:2023 §9.1
Controles relacionados
- PM-001Post-Market Monitoring Plan EstablishmentArticle 72(3) requires providers to establish, document, and implement a post-market monitoring plan that proportionately reflects the nature of the AI…
- PM-003In-Operation Performance TrackingProviders must continuously track performance indicators in operation, comparing actual performance against the baseline established during pre-market…
- PM-004Incident Detection and Root Cause AnalysisProviders must implement automated and manual mechanisms to detect incidents and near-misses in operation, and conduct root cause analysis for significant…
- PM-005Serious Incident Reporting to AuthoritiesArticle 73(1) requires providers and deployers to report serious incidents to the relevant market surveillance authority without undue delay after…
- PM-006Corrective Action ProceduresProviders must implement documented corrective action procedures that specify how identified performance issues, incidents, and non-conformities are…
- PM-007Feedback Integration from DeployersProviders must establish channels for receiving and systematically processing feedback from deployers about AI system performance, incidents, and…
Términos relacionados de la Ley de IA
- Post-Market MonitoringProactive collection and review of experience gained from the use of high-risk AI systems, to identify any need for corrective or preventive actions and ensure continued compliance throughout the system lifecycle.
- Logging CapabilitiesThe automatic recording of events by a high-risk AI system during its operation — required under Article 12 to enable monitoring of its operation, post-hoc investigation of incidents, and to support the post-market monitoring obligations of providers and deployers.
- Human OversightMeasures built into high-risk AI systems enabling natural persons to understand, monitor, and — where necessary — override or shut down the system. Must be proportionate to the risks and must ensure that deployers can intervene in the system's output before it takes effect.
Actualice cuando la conformidad deba ser
El cuestionario gratuito ofrece señales preliminares. La Evaluación Completa convierte la documentación real del sistema en un expediente de decisión auditable: extracción, separación de componentes, evidencias, normativas nacionales y dossier listo para auditoría.
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