GDPR for AI Systems

Data protection obligations don't stop at the AI boundary. When your AI system processes personal data, GDPR and the EU AI Act create overlapping — and sometimes conflicting — obligations that require careful navigation.

Key Obligations

Where GDPR meets AI

Four areas where data protection law directly impacts AI system design, training, and deployment.

Data Protection by Design

Art. 25 GDPR

AI systems must embed data protection into their architecture from inception. Training data selection, model architecture, and inference pipelines all carry DPIA obligations.

Automated Decision-Making

Art. 22 GDPR

When AI systems make decisions with legal or similarly significant effects, individuals have the right not to be subject to solely automated processing — and the right to meaningful information about the logic involved.

Data Protection Impact Assessment

Art. 35 GDPR

High-risk AI processing requires a DPIA before deployment. The EU AI Act's FRIA overlaps with — but does not replace — the GDPR DPIA obligation.

Lawful Basis for Training Data

Art. 6 GDPR

Every piece of personal data used to train an AI model needs a lawful basis. Legitimate interest assessments, consent mechanisms, and purpose limitation apply to training datasets.

Regulatory Overlap

GDPR × EU AI Act

Where two frameworks converge — and where they create tension.

GDPR	EU AI Act	Interaction
Art. 22 — Automated decisions	Art. 22 — Automated decisions	Art. 22 — Automated decisions
Art. 35 — DPIA	Art. 35 — DPIA	Art. 35 — DPIA
Art. 13/14 — Transparency	Art. 13/14 — Transparency	Art. 13/14 — Transparency
Art. 17 — Right to erasure	Art. 17 — Right to erasure	Art. 17 — Right to erasure

Navigate the Overlap

GDPR and AI compliance together — structured guidance for data protection officers managing AI systems.

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