GDPR and the EU AI Act: How They Work Together

Why This Matters

GDPR and the EU AI Act are complementary. GDPR protects personal data; the AI Act regulates AI systems. Many requirements overlap — both require transparency, risk assessment, and documentation.

Under the EU AI Act, having documented AI governance demonstrates that your business takes AI compliance seriously. If regulators or clients ask how you manage AI use, pointing to established practices is far better than starting from scratch.

Where They Overlap

Shared requirements: transparency (both require informing people), risk assessment (GDPR has DPIAs, AI Act has risk management), documentation (both require records), individual rights (both give people the right to explanations), and accountability (both require demonstrating compliance).

If you're already GDPR-compliant, you've done significant groundwork for EU AI Act compliance.

Where They Differ

Key differences: scope (GDPR covers all personal data, AI Act covers all AI), risk classification (AI Act has specific high-risk system), AI literacy (Article 4 has no GDPR equivalent), and conformity assessment (pre-market assessment for high-risk AI).

Understanding these differences helps you identify what additional work the AI Act requires beyond your GDPR compliance.

Practical Alignment

Build one governance framework for both. Your AI policy should incorporate GDPR data protection principles. Risk assessments should cover both data protection and AI risks. Training should address both data handling and AI use. Documentation should serve both purposes. This integrated approach saves time and ensures consistency.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.