🔒 Privacy & Data

GDPR Compliance for AI Systems: A Practical Guide

Deploying AI systems that process personal data within the EU requires careful navigation of GDPR principles, from establishing lawful bases to ensuring transparency in automated decisions.

⚡ Key Takeaways

  • {'point': 'Lawful basis challenges', 'detail': 'AI systems require clear lawful bases for processing, with legitimate interests requiring documented balancing tests and consent needing to be specific to each AI purpose.'} 𝕏
  • {'point': 'Article 22 restrictions', 'detail': 'Solely automated decisions with significant effects on individuals are restricted, requiring human intervention options, explainability, and the right to contest decisions.'} 𝕏
  • {'point': 'DPIAs are essential', 'detail': 'Data Protection Impact Assessments are required for high-risk AI processing and should be conducted before deployment, not as an afterthought.'} 𝕏
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