GDPR Applied to AI Systems
May 2018 — In Force. Expanded AI-specific guidance issued 2023.
high risk framework
Any organization processing EU residents' personal data in AI systems — including non-EU organizations.
Overview
The General Data Protection Regulation (GDPR) imposes significant requirements on AI systems that process personal data. Key provisions include automated decision-making restrictions (Article 22), data minimization, purpose limitation, and the right to explanation.
Key Requirements
- Lawful basis for processing personal data in AI training
- Data minimization and purpose limitation for AI datasets
- Article 22: Right to opt out of automated decision-making
- Right to explanation for AI decisions affecting individuals
- Data Protection Impact Assessments (DPIA) for high-risk AI
- Privacy by design and by default in AI systems
- Data subject rights (access, rectification, erasure)
- Cross-border data transfer restrictions for AI training data
Implementation Guidance
- 1Conduct DPIAs for all high-risk AI systems processing personal data
- 2Review training data sources for GDPR lawful basis
- 3Implement technical controls for data subject rights requests
- 4Document automated decision-making processes and human oversight
- 5Appoint a Data Protection Officer if required
Penalties for Non-Compliance
Up to €20M or 4% of global annual turnover for most serious violations
Related Frameworks
Framework Details
Short Name
GDPR & AI
Jurisdiction
European Union
Status
Risk Level
Enforcement Date
May 2018 — In Force. Expanded AI-specific guidance issued 2023.
Affected Organizations
Any organization processing EU residents' personal data in AI systems — including non-EU organizations.
Tags
This is educational guidance only. Always consult qualified legal counsel for compliance decisions affecting your organization.