RK-009KritiekAanbieder & GebruikerDetectief
Logging van incidenten en near-misses
Aanbieders en gebruikers moeten alle incidenten, near-misses en ernstige incidenten met het AI-systeem loggen, met voldoende detail voor oorzaakanalyse en om te voldoen aan de meldverplichtingen van artikel 73.
Artikelen:Article 12(1)Article 73(1)
Bewijs voorbeelden
- Incident log with timestamps and severity
- Near-miss reporting procedure
- Serious incident report template
Normen
ISO 42001:2023 §10.2ISO/IEC 27035-1
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.
- Serious IncidentAn incident or malfunction of a high-risk AI system that directly or indirectly leads to the death of a person or serious damage to a person's health, a serious and irreversible disruption of the management of critical infrastructure, a breach of obligations under Union law protecting fundamental rights, or serious damage to property or the environment.
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