EU AI Act8 min read

EU AI Act vs GDPR: How They Differ and Overlap

The EU AI Act and GDPR are both EU regulations that affect how organizations handle technology and data, but they address different concerns. Understanding how these frameworks interact helps organizations build compliance programs that satisfy both.

Key Takeaways

Point Summary
Focus GDPR protects personal data; AI Act governs AI systems regardless of data type
Overlap AI systems processing personal data must comply with both regulations
Complementary roles GDPR focuses on data protection principles; AI Act adds AI-specific safety and transparency requirements
Separate enforcement Different supervisory authorities, though coordination mechanisms exist
Practical approach Organizations should integrate both frameworks rather than treating them separately

Quick Answer: GDPR and the EU AI Act address different aspects of technology governance. GDPR protects personal data processing, while the AI Act regulates AI systems based on risk. When AI processes personal data, both apply. GDPR-compliant organizations have a foundation for AI Act compliance but need to add AI-specific requirements.

Core Differences

Aspect GDPR EU AI Act
Primary focus Personal data protection AI system safety and trustworthiness
Scope Any processing of personal data AI systems placed on market or used in EU
Risk approach Data sensitivity and impact on individuals AI system use case and potential harm
Subject of regulation Data processing activities AI systems and their lifecycle
Key roles Controller, processor Provider, deployer, importer, distributor
Effective since May 2018 Phased 2024-2027
Maximum penalty 4% global turnover or 20M EUR 7% global turnover or 35M EUR (prohibited AI)

How They Overlap

When an AI system processes personal data, both regulations apply simultaneously:

Joint Requirements

Area GDPR Requirement AI Act Requirement
Transparency Inform individuals about data processing Disclose AI system use and capabilities
Documentation Record of processing activities Technical documentation for AI systems
Risk assessment Data Protection Impact Assessment (DPIA) AI risk management system
Human involvement Rights regarding automated decisions Human oversight requirements
Security Appropriate technical measures Accuracy, robustness, cybersecurity

Automated Decision-Making

GDPR Article 22 and the AI Act both address automated decisions affecting individuals:

GDPR Article 22 AI Act
Right not to be subject to solely automated decisions with legal or significant effects Requirements for human oversight in high-risk AI systems
Requires meaningful human involvement Specifies technical and organizational oversight measures
Applies when decisions have legal or similarly significant effects High-risk classification based on use case, not just effect
Right to obtain human intervention Deployer must assign competent personnel for oversight

Practical implication: An AI system making employment or credit decisions must comply with both GDPR Article 22 (data protection) and AI Act high-risk requirements (AI safety).

What GDPR Compliance Gives You

Organizations with mature GDPR programs have advantages when approaching AI Act compliance:

GDPR Practice AI Act Benefit
Data inventory Foundation for AI system inventory
Data quality processes Supports AI Act data governance requirements
DPIA experience Skills transfer to AI risk assessments
Vendor management Process for assessing AI providers
Incident response Framework adaptable for AI incidents
Documentation habits Culture supports AI documentation needs
DPO role May coordinate with AI compliance functions

Gaps GDPR Does Not Address

AI Act Requirement Why GDPR Does Not Cover It
Conformity assessment GDPR has no pre-market assessment requirement
Technical safety testing GDPR focuses on data, not system performance
AI-specific transparency GDPR transparency is about data use, not AI capabilities
Accuracy and robustness GDPR addresses data quality, not model performance
Post-market monitoring GDPR has no equivalent ongoing monitoring requirement
CE marking No product conformity marking in GDPR

Data Protection Impact Assessments and AI

Both regulations require impact assessments in certain situations:

Aspect GDPR DPIA AI Act Fundamental Rights Impact Assessment
When required High-risk data processing High-risk AI deployed by: (1) public bodies, (2) private entities providing public services, or (3) deployers of credit scoring and life/health insurance AI systems. Critical infrastructure AI is excluded from FRIA requirements.
Focus Privacy risks and data protection Broader fundamental rights impact
Trigger Likelihood of high risk to rights and freedoms Deploying high-risk AI in specified categories
Output Risk assessment and mitigation measures Assessment of AI impact on affected groups

For AI systems processing personal data: Organizations may need both assessments. The AI Act explicitly states that AI fundamental rights assessments can build on GDPR DPIAs to avoid duplication.

Incident Reporting Comparison

Aspect GDPR EU AI Act
What triggers reporting Personal data breach Serious incident involving high-risk AI
Timeline 72 hours to supervisory authority Without undue delay: max 15 days (standard), 10 days (death), 2 days (widespread/critical infrastructure)
Who reports Controller Provider and deployer
To whom Data protection authority Market surveillance authority
Content Nature of breach, affected data, consequences, measures Nature of incident, AI system involved, corrective actions

When both apply: A data breach caused by an AI system malfunction may require dual reporting under both regulations to respective authorities.

Enforcement and Supervision

The regulations have separate but coordinated enforcement structures:

Aspect GDPR EU AI Act
Primary authority Data protection authorities Market surveillance authorities
EU-level body European Data Protection Board AI Office (European Commission)
National implementation Direct effect Direct effect (with some national variation)
Coordination One-stop-shop for cross-border processing Lead market surveillance authority for cross-border cases

Coordination requirements: The AI Act requires market surveillance authorities to consult data protection authorities when enforcement concerns both AI and personal data issues.

Practical Integration Strategies

Unified Governance

Approach Implementation
Integrated oversight Single committee overseeing both data protection and AI governance
Shared documentation Templates that address both regulatory requirements
Combined assessments DPIA and AI risk assessment performed together where applicable
Aligned policies Policies that address both data protection and AI requirements

Documentation Alignment

Document GDPR Element AI Act Element
System inventory Record of processing activities AI system registry
Risk assessment DPIA Risk management system documentation
Third-party assessment Processor due diligence Provider/deployer evaluation
Training records Data protection training AI-specific competency training
Incident log Data breach register AI incident records

Process Integration

Process Integrated Approach
New system evaluation Single intake assessing both data protection and AI classification
Vendor assessment Combined questionnaire covering both frameworks
Change management Review process considering both regulatory impacts
Incident response Unified triage determining which (or both) regulations apply
Regular review Combined compliance review addressing both frameworks

Common Questions

Does GDPR compliance mean AI Act compliance?

No. GDPR compliance provides a foundation but does not satisfy AI Act requirements. Organizations need to add AI-specific elements: system classification, technical documentation, conformity assessment, and AI-specific transparency measures.

If my AI does not process personal data, do I still need to comply with the AI Act?

Yes. The AI Act applies based on the AI system's risk classification, not whether it processes personal data. A high-risk AI system that only processes non-personal data must still meet all high-risk requirements.

Can I use my DPO for AI Act compliance?

Potentially, but consider the different expertise required. Data protection focuses on privacy law and data handling practices. AI compliance requires understanding of AI systems, risk assessment methodologies, and technical safety requirements. Some organizations create a separate AI compliance function; others expand the DPO role with additional expertise.

How do the penalties interact?

Organizations can potentially face penalties under both regulations for the same incident if it involves both a data protection violation and an AI Act violation. The AI Act explicitly states that penalties should be effective, proportionate, and dissuasive, taking into account other penalties for the same behavior.

How Bastion Helps

Bastion helps organizations navigate both GDPR and EU AI Act compliance:

  • Integrated assessment. We evaluate your AI systems against both frameworks to identify overlapping requirements and gaps.
  • Unified documentation. We help create documentation that satisfies both regulatory requirements efficiently.
  • Combined governance. We design governance structures that address data protection and AI compliance together.
  • Practical implementation. We help implement policies and processes that work for both frameworks.
  • Ongoing monitoring. We track developments in both regulatory areas and help you stay current.

Our experience with GDPR compliance (learn more about GDPR) informs our approach to the AI Act, helping organizations leverage existing compliance investments.


Ready to align your GDPR and AI Act compliance? Talk to our team


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