GDPR Fundamentals for Context
The General Data Protection Regulation fundamentally shapes how AI systems can collect, store, and use personal context. Understanding these requirements is essential for any enterprise deploying AI in European markets or processing EU citizen data.
Key Requirements
Lawful Basis for Processing
Every personal context item needs a lawful basis: consent, contract necessity, legal obligation, vital interests, public task, or legitimate interests. Document the basis for each context category and ensure processing aligns with stated purposes.
Data Minimization
Collect only context truly necessary for your stated purposes. Resist the temptation to gather everything 'just in case.' Regularly audit context stores to remove data that's no longer necessary.
Right to Erasure
Implement robust deletion capabilities. When users request erasure, you must remove their personal context from all systems, including backups (within reasonable timeframes), derived datasets, and third-party processors.
Technical Implementation
Design context schemas with GDPR in mind. Tag personal data fields, implement retention policies that auto-expire data, and build export capabilities for data portability requests. Maintain processing records as required by Article 30.
AI-Specific Considerations
GDPR applies to AI training data and model outputs. Consider whether context used for model training creates re-identification risks. Implement privacy-preserving techniques where appropriate.
