The European Data Protection Board (EDPB) recently published a technical training document “Fundamentals of Secure AI Systemswith Personal Data” focused on the intersection of artificial intelligence (AI) and data protection under the General Data Protection Regulation (GDPR). This guidance highlights the importance of integrating data protection principles into the design, development, and deployment of AI systems. Key topics include data minimisation, transparency, accountability, and ensuring robust risk assessments for any processing of personal data by AI technologies.
The document offers practical recommendations for organisations deploying AI, such as establishing clear lawful bases for processing, conducting Data Protection Impact Assessments (DPIAs), and implementing technical and organisational measures to safeguard individual rights. Emphasis is placed on transparency—organisations must provide individuals with understandable information about how their data is used within AI systems, including automated decision-making processes.
Additionally, the EDPB stresses the necessity for ongoing monitoring and documentation to demonstrate GDPR compliance throughout the lifecycle of AI solutions. This includes regular reviews of data processing activities, updating privacy notices to reflect changes in AI operations, and ensuring that data subjects can exercise their rights effectively. The document also urges entities to consider ethical implications and societal impacts alongside legal requirements.
Key Takeaways
- AI systems processing personal data must comply with GDPR principles such as transparency, data minimisation, and accountability.
- Organisations should conduct Data Protection Impact Assessments (DPIAs) before deploying AI solutions.
- Clear communication with individuals about automated decision-making is required.
- Continuous monitoring and documentation are essential for demonstrating GDPR compliance.
- Technical and organisational safeguards must be in place to protect data subjects’ rights.
- Ethical and societal impacts of AI should also be considered.
