RK-005AltoFornitoreInvestigativo
Tracciabilità e ricostruzione degli eventi
I log devono consentire la tracciabilità e la ricostruzione degli eventi decisionali per comprendere gli input elaborati, gli output generati e le condizioni in cui il sistema di IA operava in un dato momento.
Articoli:Article 12(1)Article 12(2)(a)
Esempi di prove
- Event reconstruction test procedure
- Trace log sample for decision events
- Input-output correlation capability
Norme
ISO 42001:2023 §9.1ISO/IEC 27001:2022 A.8.15
Controlli correlati
- 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-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…
- RK-007Anomaly and Error Detection LoggingThe logging system must capture anomalous behaviour, errors, and unexpected outputs from the AI system in operation, enabling timely detection of…
Termini correlati del Regolamento IA
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