Knowledge
How do you make AI GDPR-compliant?
AI can be built in a GDPR-compliant way when data protection is part of the architecture from the start: EU hosting, data minimisation, access control, a clean legal basis and transparency towards the people affected. For particularly sensitive data, a locally operated (on-premise) model is an option. The key is to settle these points before you build — retrofitting costs more.
The core building blocks
- EU hosting: processing and storage within the EU.
- Data minimisation: only process the data the use case actually needs.
- Access control: everyone sees and uses only what they are authorised for.
- Legal basis: clearly determine consent, contract or legitimate interest.
- Transparency: inform the people affected in plain language.
What matters with model APIs
If you use a hosted model, you need to check the place of processing, the data processing agreement and how input data is handled. For particularly sensitive data, a locally operated model can be the safer choice.
Factor in the AI Act
Alongside GDPR, the EU AI Act applies. For many mid-market use cases, the “limited risk” category applies, with manageable transparency obligations. Classifying this early saves you surprises later.
FAQ
Frequently asked questions
Is GDPR-compliant AI even possible?
Yes. With EU hosting, data minimisation, access control and a clear legal basis, AI can be built in a data-protection-compliant way.
Can personal data go into an AI model?
Only with a valid legal basis and while observing data minimisation and purpose limitation. Often the data can be pseudonymised beforehand.
Cloud model or local model?
For very sensitive data, a locally operated model can make sense; otherwise an EU-hosted model with a data processing agreement is often enough.