What is AI and Data Protection Guidance?

In practice, this guidance addresses issues such as lawful basis, data minimisation, purpose limitation, data subject access, automated decision-making, and the handling of training and inference data. It is often issued by data protection authorities to translate general privacy rules into AI-specific expectations for controllers, providers, and deployers.

For compliance teams, these materials are especially useful when assessing whether model training, fine-tuning, monitoring, or output handling creates GDPR risk. They are relevant across jurisdictions and are commonly used alongside GDPR analyses, model development guidance, and internal privacy-by-design controls; they also support compliance alignment with broader frameworks such as ISO 27001 and ISO/IEC 42001.