DG-007AltoFornitorePreventivo
Tecniche di tutela della privacy dei dati
Quando si trattano dati personali per l’addestramento dell’IA, i fornitori devono implementare adeguate tecniche di tutela della privacy come pseudonimizzazione, anonimizzazione o differential privacy, in conformità all’articolo 25 del GDPR.
Articoli:Article 10(5)Article 10(6)
Esempi di prove
- Privacy-by-design assessment
- Anonymisation technique description
- DPIA for training data processing
Norme
ISO 42001:2023 §8.2ISO/IEC 27701:2019
Controlli correlati
- DG-001Training Data Quality RequirementsArticle 10(3) requires that training, validation, and testing data sets are subject to data governance practices that ensure relevance,…
- DG-002Bias Detection and CheckingProviders must examine training, validation, and testing datasets for possible biases that could affect health, safety, or fundamental rights, and…
- DG-003Data Documentation and ProvenanceProviders must document the origin, collection methodology, labelling process, and relevant characteristics of all data sets used in training, validation,…
- DG-004Data Representativeness AssessmentArticle 10(3) requires that training data sets are sufficiently representative of the intended population and use-case context, and providers must…
- DG-005Data Relevance and Completeness CheckProviders must verify that data sets used for high-risk AI systems are relevant and complete for the system's intended purpose, documenting any known gaps…
- DG-006Data Annotation Quality AssuranceWhere data labelling or annotation is performed, providers must implement quality assurance procedures to ensure consistency, accuracy, and…
Termini correlati del Regolamento IA
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