HO-007AltoFornitore & DeployerPreventivo
Requisiti di competenza del personale di supervisione
I fornitori devono specificare nelle istruzioni per l'uso le competenze richieste per le persone incaricate della supervisione del sistema di IA, e i deployer devono verificare che il personale designato soddisfi tali requisiti prima dell'implementazione.
Articoli:Article 14(3)Article 26(5)
Esempi di prove
- Required competency specification
- Personnel qualification records
- Competency gap assessment
Norme
ISO 42001:2023 §7.2
Controlli correlati
- HO-001Human Oversight Mechanism DesignArticle 14(1) requires that high-risk AI systems are designed and developed in a way that enables natural persons to effectively oversee the system's…
- HO-002Override and Intervention CapabilityHigh-risk AI systems must include a capability for human overseers to intervene in or interrupt the system's operation, and providers must document this…
- HO-003Stop Function ImplementationProviders must implement a stop function that enables the immediate cessation of the AI system's operation when required by human overseers, with a clear,…
- HO-004Automation Bias Awareness TrainingArticle 14(4) requires that oversight persons are aware of the tendency to over-rely on AI outputs (automation bias); deployers must implement training…
- HO-005Output Interpretation CapabilityDeployers must ensure that persons assigned to oversee high-risk AI systems have the capability to correctly interpret the system's outputs, including the…
- HO-006Decision Reversal and Correction ProcessDeployers must establish documented procedures for reversing or correcting AI-assisted decisions that affect natural persons, including how affected…
Termini correlati del Regolamento IA
- 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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