QM-004AltoFornitorePreventivo
Procedure di gestione dei dati
I fornitori devono disporre di procedure documentate di gestione dei dati che coprano l'acquisizione, la preparazione, l'uso e la conservazione dei dati durante l'intero ciclo di vita del sistema di IA, in linea con i requisiti di governance dei dati di cui all'articolo 10.
Articoli:Article 17(1)(c)Article 10
Esempi di prove
- Data management procedure SOP
- Data lifecycle flowchart
- Data quality gate checklist
Norme
ISO 42001:2023 §8.2ISO/IEC 5259
Controlli correlati
- 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-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…
- QM-007Post-Market Monitoring PlanArticle 17(1)(f) requires providers to implement a post-market monitoring plan that specifies the data to be collected, the monitoring frequency, the…
Termini correlati del Regolamento 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.
- Data GovernancePractices and policies applicable to training, validation, and testing data sets used for high-risk AI systems, covering the design choices, data collection, and preparation processes, and ensuring datasets are relevant, sufficiently representative, and free of errors and complete.
Passa alla versione completa quando la conformità deve essere
Il questionario gratuito fornisce segnali preliminari. La Valutazione Completa trasforma i dati reali di sistema in un fascicolo decisionale governato: estrazione, separazione componenti, prove, sovrapposizioni nazionali e dossier pronto per audit.
Avvia anteprima gratuita del rischio