RK-008HoogAanbieder & GebruikerDetectief
Logging van menselijke toezichtbeslissingen
Wanneer menselijke toezichtbeslissingen worden genomen in verband met de output van het AI-systeem, moeten aanbieders deze beslissingen en hun onderbouwing loggen om de effectiviteit van menselijk toezicht te kunnen beoordelen.
Artikelen:Article 12(1)Article 14(4)
Bewijs voorbeelden
- Oversight decision log format
- Human review record samples
- Override decision audit trail
Normen
ISO 42001:2023 §9.1
Gerelateerde controles
- RK-001Automatic Event Logging CapabilityArticle 12(1) requires that high-risk AI systems are designed and developed with automatic logging capabilities, enabling the reconstruction of events…
- RK-002Log Integrity and Tamper ProtectionProviders must ensure that logs are protected against tampering, unauthorised deletion, or modification, using cryptographic integrity controls,…
- RK-003Log Retention for Minimum 10 YearsArticle 18(1) requires that providers retain technical documentation and logs for at least 10 years after the high-risk AI system is placed on the market…
- RK-004Log Accessibility for Competent AuthoritiesProviders must ensure that event logs are accessible to competent national authorities and market surveillance authorities upon request, with procedures…
- RK-005Event Traceability and ReconstructionLogs must enable the tracing and reconstruction of decision events to understand the inputs processed, the outputs generated, and the conditions under…
- RK-006Performance and Operational Metrics LoggingProviders must log performance and operational metrics relevant to verifying that the AI system operates within the parameters established in the…
Gerelateerde AI-verordening-begrippen
- 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.
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