GDPR & AI Checklist – Data Privacy Compliance Audit

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GDPR AI Requirements Checklist

Assess your AI system's GDPR compliance. 22 questions, 5 categories.

Legal Basis & Transparency

Legal basis and information obligations according to GDPR Art. 6, 13-14

A legal basis according to GDPR Art. 6 is required for all personal data processing (e.g., consent, contract, legal obligation, legitimate interest).

GDPR Art. 13-14: Data subjects must be informed about automated decision-making and the logic involved in AI operations.

The privacy policy must include the purpose of AI application, its logic, and expected effects on data subjects.

GDPR Art. 5(1)(c): Only the minimum amount of data necessary to achieve the purpose may be processed.

Data Subject Rights in AI

Ensuring data subject rights according to GDPR Art. 15-22 in AI context

Data subjects have the right to know what data the AI processes, with what logic, and what consequences.

GDPR Art. 16-17: Data subjects can request rectification or erasure, which must also apply in the AI model.

GDPR Art. 22: Data subjects have the right to object to decisions based solely on automated processing.

GDPR Art. 20: Data portability - data must be provided in a structured, machine-readable format.

Automated Decision Making & Profiling

Automated decision-making rules according to GDPR Art. 22

GDPR Art. 22 prohibits fully automated decision-making except in special cases (consent, contract, legal provision).

GDPR Art. 22(3): The right to human intervention must be ensured in automated decisions.

Data subjects must be informed about profiling logic and applied categories (e.g., age group, interest categories).

GDPR Art. 9: Processing special categories is generally prohibited, permitted only under special conditions.

Data Protection & Security

Technical and organizational measures according to GDPR Art. 25, 32, 35

GDPR Art. 25: Data protection must be built into the AI system's design and must operate at the highest level by default.

GDPR Art. 35: DPIA is mandatory if processing likely results in high risk (automated decisions, large-scale processing, sensitive data).

GDPR Art. 32: Controllers must implement appropriate technical and organizational measures to protect data.

GDPR Art. 33-34: Data breaches must be reported to the supervisory authority within 72 hours and data subjects must be informed.

GDPR Art. 28: Written contracts with processors must include the subject, duration, and obligations of processing.

Accountability & Documentation

Accountability and record-keeping obligations according to GDPR Art. 5, 24, 30

GDPR Art. 30: Controllers must maintain records of processing activities (purpose, categories, time limits, recipients, security measures).

GDPR Art. 37-39: DPO designation is mandatory for large-scale, regular, systematic monitoring or processing of sensitive data.

GDPR Art. 44-50: Data may be transferred to third countries only with adequate safeguards (adequacy decision, SCC, BCR).

Regular reviews are necessary for accountability to ensure AI compliance.

GDPR Art. 5(1)(e): Data must be kept only as long as necessary, then deleted.

Is your AI system 100% GDPR compliant? T

ake our 3-Minute GDPR & AI Checklist! Using AI creates serious data privacy risks (e.g., profiling, automated decision-making). This quick audit helps you assess your compliance with GDPR’s AI-specific requirements, from data minimization to data subject rights.

Complete it in just 3 minutes and avoid heavy fines! We’ll email you the instant evaluation.