QM-010MedioProveedorCorrectivo
Procedimientos de mejora continua
Los proveedores deben aplicar procedimientos de mejora continua del sistema de gestión de calidad, que incluyan auditorías internas, revisiones por la dirección, gestión de no conformidades y procesos de acciones correctivas.
Artículos:Article 17(1)Article 72
Ejemplos de evidencia
- Internal audit schedule and reports
- Corrective action log
- Management review minutes
Normas
ISO 42001:2023 §10.3ISO 9001:2015 §10.3
Controles relacionados
- QM-001Quality Management System EstablishmentArticle 17(1) requires providers of high-risk AI systems to put in place a quality management system that ensures compliance with the requirements of the…
- QM-002Regulatory Compliance StrategyProviders must establish and document a strategy for achieving and maintaining compliance with applicable regulatory requirements, including the EU AI…
- QM-003Design Control ProceduresProviders must implement documented design control procedures that ensure regulatory and performance requirements are systematically incorporated from the…
- QM-004Data Management ProceduresProviders must have documented data management procedures covering the acquisition, preparation, use, and retention of data throughout the AI system…
- QM-005Staff Training and Competency ProceduresArticle 17(1)(d) requires providers to implement procedures for training personnel involved in AI system development, testing, and monitoring, with…
- QM-006Pre-Market Testing and Validation ProceduresProviders must implement documented procedures for pre-market testing and validation of high-risk AI systems, including the metrics to be achieved, the…
Términos relacionados de la Ley de IA
- Quality Management SystemA documented system that providers of high-risk AI systems must establish, implement, document, and maintain covering: the regulatory compliance strategy, design and development processes, data governance procedures, risk management, post-market monitoring, and incident reporting.
- 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.
Actualice cuando la conformidad deba ser
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