Description
Privacy-preserving techniques and compliance with data protection regulations in AI data collection, processing, and storage.
Implementation Guidance
Privacy Impact Assessment
Conduct a Privacy Impact Assessment (PIA) for each AI system processing personal data. Identify: legal basis for processing, data minimization opportunities, retention requirements, cross-border transfer implications, and data subject rights mechanisms.
Privacy-Enhancing Technologies
Apply privacy-preserving techniques appropriate to risk level: anonymization or pseudonymization for training data, differential privacy for model outputs, federated learning to avoid centralizing sensitive data, and secure multi-party computation for collaborative AI.
Regulatory Compliance
Map AI data processing to applicable regulations (GDPR, CCPA, sector-specific rules). Implement: lawful processing basis documentation, data subject access request procedures for AI systems, right to explanation for automated decisions, and data breach notification procedures.
Evidence Requirements
- Privacy Impact Assessments per AI system
- Data processing records with legal basis
- Privacy-enhancing technology implementation records
- Data subject rights request logs and responses