RequirementsArticle 14Article 26(2)
Supervisión humana
Medidas incorporadas en los sistemas de IA de alto riesgo que permiten a las personas físicas comprender, supervisar y — cuando sea necesario — anular o apagar el sistema. Deben ser proporcionales a los riesgos y garantizar que los desplegadores puedan intervenir en los resultados del sistema antes de que surtan efecto.
Términos relacionados
- Risk Management SystemA continuous iterative process that must be established, implemented, documented, and maintained by providers of high-risk AI systems throughout the…
- Data GovernancePractices and policies applicable to training, validation, and testing data sets used for high-risk AI systems, covering the design choices, data…
- AccuracyThe requirement that high-risk AI systems achieve an appropriate level of accuracy in relation to their intended purpose, as specified in the technical…
- RobustnessThe ability of a high-risk AI system to maintain its level of performance under adverse conditions — including technical limitations, adversarial inputs,…
- CybersecurityThe requirement that high-risk AI systems are resilient against attempts by third parties to alter their use, behaviour, or performance in ways that could…
- Transparency RequirementsObligations under Article 13 requiring that high-risk AI systems are designed to ensure that their operation is sufficiently transparent to enable…
Controles de cumplimiento relacionados
- RK-008Human Oversight Decision LoggingWhere human oversight decisions are made in connection with the AI system's outputs, providers must log these decisions and their rationale to enable review of the effectiveness of human oversight measures.
- TR-005Human Oversight Guidance for DeployersInstructions for use must provide deployers with information about human oversight measures required, including the competencies needed to interpret outputs, the circumstances requiring human intervention, and how to use the override capability.
- TR-011Interpretability and Explainability MeasuresProviders must implement measures that enable deployers and, where feasible, affected persons to understand the basis for AI system outputs to the extent technically possible, supporting informed human oversight decisions.
- 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 operation, with oversight tools built into the system design rather than added as an afterthought.
Actualice cuando la conformidad deba ser
El cuestionario gratuito ofrece señales preliminares. La Evaluación Completa convierte la documentación real del sistema en un expediente de decisión auditable: extracción, separación de componentes, evidencias, normativas nacionales y dossier listo para auditoría.
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