A side-by-side comparison of General Data Protection Regulation (GDPR) and EU AI Act. Understand how personal data protection obligations differ from risk-based AI system and general-purpose AI model obligations.
Quick Verdict: Use GDPR when the issue is processing personal data; use the EU AI Act when the issue is AI system risk category, safety, transparency, governance, or conformity obligations.
General Data Protection Regulation defines European Union’s data protection law governing the processing of personal data.
Context: Most relevant when an AI project processes personal data about individuals.
EU AI Act defines European Union regulation establishing a risk-based framework for AI systems and, in some cases, general-purpose AI models.
Context: Most relevant when classifying an AI system or mapping AI-specific compliance obligations.
| Aspect | General Data Protection Regulation (GDPR) | EU AI Act |
|---|---|---|
| Regulatory purpose | GDPR protects individuals in relation to the processing of personal data. | The EU AI Act regulates AI systems and some general-purpose AI models through risk-based obligations. |
| Trigger point | Triggered when personal data is processed by an organization. | Triggered when an AI system or covered AI model falls within the Act’s categories and risk framework. |
| Required evidence | Evidence includes lawful basis, transparency, purpose limitation, minimization, security, rights handling, and accountability records. | Evidence includes risk classification, technical documentation, transparency, governance, conformity, and other AI-specific records where applicable. |
| Responsible actor | Organizations processing personal data must allocate privacy and accountability responsibilities. | AI Act obligations are assigned according to AI roles such as provider or deployer and the system’s risk level. |
| Audit implication | Audits examine whether personal data processing is lawful, transparent, secure, limited, and accountable. | Audits examine whether AI-specific obligations match the system category, risk level, and lifecycle evidence. |
In practice, the mistake is asking which law applies instead of mapping both trigger tests. If an AI system processes personal data, the compliance file usually needs both privacy and AI Act evidence streams.
Assuming EU AI Act compliance automatically satisfies GDPR.
Assuming GDPR compliance covers AI Act risk classification.
Ignoring personal data in model inputs, outputs, logs, or evaluation datasets.
Use GDPR when discussing personal data processing, individual rights, lawful basis, transparency, data minimization, security, and accountability. It remains relevant in AI projects whenever personal data is used for training, testing, deployment, or operation.
Use EU AI Act when discussing AI system classification, risk-based obligations, general-purpose AI models, safety, transparency, governance, conformity assessment, or CE marking. It applies because of the AI system or model and its regulatory category.
Many AI systems require both GDPR and EU AI Act analysis. GDPR answers the personal data processing question, while the EU AI Act answers the AI risk and conformity question.
Yes. GDPR can apply because the system processes personal data, while the EU AI Act can apply because the system is an AI system or model within a risk-based regulatory category.
GDPR focuses on the processing of personal data and related individual rights and organizational obligations. The EU AI Act focuses on AI systems, risk categories, and AI-specific obligations.
Teams should maintain separate but connected evidence streams: privacy records for GDPR and AI system governance, risk, and conformity records for the EU AI Act.
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