PM-004CritiqueFournisseurDétectif
Détection des incidents et analyse des causes profondes
Les fournisseurs doivent mettre en œuvre des mécanismes automatisés et manuels pour détecter les incidents et les quasi-incidents en fonctionnement, et effectuer une analyse des causes profondes pour les incidents significatifs afin d'identifier les problèmes systémiques et de prévenir leur récurrence.
Articles:Article 72(1)Article 73(1)
Exemples de preuves
- Incident detection system configuration
- Root cause analysis report template
- Incident investigation records
Normes
ISO 42001:2023 §10.2ISO/IEC 27035-1
Contrôles associés
- 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-002Operational Data Collection SystemProviders must implement a system for collecting and analysing relevant data on the performance of high-risk AI systems throughout their operational…
- PM-003In-Operation Performance TrackingProviders must continuously track performance indicators in operation, comparing actual performance against the baseline established during pre-market…
- 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…
Termes associés du règlement sur l’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.
- 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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