AI Data Collection vs Privacy Protection
Apply data minimization and pseudonymization from dataset design so AI training meets EU AI Act and GDPR requirements while preserving representativeness.
CyberTRIZ analysis · Regulatory contradiction R157 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Overview
AI systems often improve as more data becomes available for training and validation. However, the AI Act and related privacy regulations require organizations to govern personal information responsibly. RegulatoryTRIZ resolves this contradiction by applying data minimization, anonymization, pseudonymization, and strong data governance while ensuring that training datasets remain representative and reliable. Compliance is demonstrated through data inventories, governance documentation, and privacy assessments, while performance is measured through data quality indicators and privacy compliance findings.