HO-005AltoDesplegadorPreventivo
Capacidad de interpretación de resultados
Los desplegadores deben garantizar que las personas encargadas de supervisar los sistemas de IA de alto riesgo tengan la capacidad de interpretar correctamente los resultados del sistema, reconocer posibles errores y determinar si se requiere intervención humana.
Artículos:Article 14(4)(a)Article 14(4)(c)
Ejemplos de evidencia
- Output interpretation training module
- Competency assessment for interpreters
- Output reliability guidance documentation
Normas
ISO 42001:2023 §7.2
Controles relacionados
- 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-006Decision Reversal and Correction ProcessDeployers must establish documented procedures for reversing or correcting AI-assisted decisions that affect natural persons, including how affected…
- HO-007Oversight Personnel Competency RequirementsProviders must specify in the instructions for use the competencies required for persons assigned to oversee the AI system, and deployers must verify that…
Términos relacionados de la Ley de IA
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