European Union data protection regulation with specific requirements for AI systems, including data processing transparency and the right to explanation.
Lawfulness, fairness, transparency: AI processing must have legal basis and be transparent
Purpose limitation: Data used for AI must match original collection purpose
Data minimization: Collect only necessary data for AI models
Accuracy: Ensure training data and model outputs are accurate
Storage limitation: Delete data when no longer needed for AI purposes
Integrity and confidentiality: Secure AI systems and data
Accountability: Demonstrate GDPR compliance through documentation
Data Processing Impact Assessments: Conduct mandatory privacy impact assessments for high-risk AI processing activities, documenting potential data subject risks, safeguards implemented, and mitigation measures before deployment commences.
Cross-Border Data Transfer Compliance: Establish technical and organizational measures ensuring lawful international data transfers, including adequacy decisions, standard contractual clauses, and binding corporate rules for AI system operations.
Determination of GDPR legal basis for AI data processing (consent, contract, legitimate interest, legal obligation). Documented for each AI system.
Mandatory DPIA for high-risk AI processing (automated decision-making, large-scale sensitive data). Includes necessity assessment and mitigation plan.
Technical measures enabling meaningful information about AI logic, significance, and consequences. Supports GDPR Article 22 rights.
Process for handling GDPR rights requests: access, rectification, erasure, restriction, portability, objection. 30-day response deadline.
Standard Contractual Clauses (SCCs) or Adequacy Decisions for transferring EU personal data to third countries for AI processing.
Data Protection Impact Assessment (DPIA) completion
DPO review and recommendations
Legal basis verification
Supervisory authority consultation if high residual risk
Senior management sign-off
Required Roles:
Organization-wide policy implementing GDPR requirements for AI systems, including legal basis, rights, and accountability measures.
Structured questionnaire for assessing necessity, proportionality, and risks of AI processing. Includes mitigation measures.
Register of all personal data processing activities including AI systems. Required by GDPR Article 30.
GDPR Article 22
Right not to be subject to automated decision-making with legal/significant effects
AI systems provide explanations. Human review available upon request. No fully automated decisions for high-impact outcomes (credit, employment, healthcare).
GDPR Article 35
Data Protection Impact Assessment (DPIA) for high-risk processing
Mandatory DPIA for: (1) Automated decision-making, (2) Large-scale sensitive data processing, (3) Systematic monitoring. DPO reviews all DPIAs.
GDPR Article 33
Personal data breach notification to supervisory authority within 72 hours
Automated breach detection. Incident response playbook with pre-drafted notification templates. Legal team authorized for expedited notification.
Yes, with proper legal basis. Options: (1) Explicit consent (clearest but hardest to obtain at scale), (2) Legitimate interest (if demonstrably necessary and balanced against individual rights), (3) Contract necessity (if AI is core to service delivery). Always conduct DPIA for high-risk training.
Up to €20 million or 4% of global annual turnover, whichever is higher. Recent AI-related fines: Meta €265M (data scraping), Amazon €746M (targeting), Google €90M (cookies). Supervisory authorities increasingly focus on AI compliance. Violations also trigger mandatory breach notifications and reputational damage.
EU AI Act (in force 2025) adds AI-specific requirements: risk categorization, conformity assessments for high-risk AI, transparency obligations. GDPR still applies to all personal data processing. AI Act focuses on safety and fundamental rights; GDPR focuses on data protection. Compliance requires both.
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We ensure all implementations meet regulatory requirements and industry standards.
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