Synthetic Data for EU AI Act Compliance
How synthetic data supports EU AI Act compliance: Article 10 training data requirements, GDPR data minimization, certified provenance, and audit trail documentation.
Synthetic data plays a strategic role in EU AI Act compliance — particularly for Article 10 (training data requirements), where high-risk AI providers must document and govern their training datasets.
Certified synthetic datasets provide documented provenance, validated quality scores, and cryptographic integrity — satisfying the Article 10 data governance obligations while reducing privacy exposure from real training data.
Article 10 and Synthetic Data
Article 10 requires that training data used in high-risk AI systems be subject to data governance practices covering: relevance, representativeness, freedom from errors, and completeness. Certified synthetic datasets can be generated to specification — designed to cover specific statistical properties, edge cases, and demographic distributions — and documented with full provenance.
CertifiedData.io provides cryptographic certification infrastructure for synthetic datasets and AI artifacts, producing tamper-evident records for audit and EU AI Act compliance.