CNIL

CNIL’s Recommendations on GDPR Compliance for AI Systems

CNIL’s Recommendations on GDPR Compliance for AI Systems

On 7 June 2024 CNIL released the English translation of its recommendations for applying GDPR to AI system development (published in April), addressing the misconception that GDPR hinders AI innovation. These guidelines – “AI how-to Sheets” 1 to 7 – emphasize responsible handling of personal data, essential for model training. Key aspects include defining a clear objective for AI systems, determining responsibilities, establishing a legal basis for data processing, ensuring lawful data reuse, minimizing data usage, setting data retention periods, and conducting Data Protection Impact Assessments (DPIAs).

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CNIL Updates Its Practice Guide for the Security of Personal Data

🚀 CNIL’s 2024 update to the Guide on Security of Personal Data is out and here are some key points:

🎓 Aimed at DPOs, CISOs, computer scientists, and privacy lawyers, the guide provides actionable advice for implementing effective security measures in compliance with GDPR Article 32.
🛠️ It offers a structured approach across five key areas: users, IT and equipment, data control, incident preparedness, and and specialized topics, simplifying navigation and understanding of complex security requirements.
🔄 New factsheets on cloud computing, mobile apps, AI, APIs, and data management have been added, reflecting the latest advancements in technology and data security challenges, aiming to provide a comprehensive resource for implementing effective data security measures.

💡Deeper dive in the article! 🔐

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