How do you ensure that an AI product complies with international data protection regulations (e.g., GDPR)?

Example Answer

I would start by mapping what personal data the feature uses, why it uses it, and which systems or providers receive it. Then I would work with privacy and legal specialists to document the applicable requirements and the lawful basis for each purpose. Under GDPR, consent is one of several Article 6 bases, not a universal requirement. Special-category data has additional conditions.

For an AI feature, I would check the prompt, output, logs, provider retention, and any reuse for training, rather than reviewing only the main database. I would turn the approved requirements into controls for access, data minimization, retention, and applicable rights requests, with tests and an accountable owner. I would also ask whether an impact assessment or transfer review is required. Pseudonymization would not be treated as an exemption. If a material gap remained, I would limit the feature or hold the launch until the responsible specialists resolved it.

Make it your own

Choose a concrete data flow and explain one requirement, control, and test. Describe your product role and the legal owner's role. Do not claim that consent, encryption, or a generic checklist establishes compliance in every market.

Why this works

It corrects the consent misconception and makes approved privacy requirements testable in the actual AI workflow.

Follow-up to practice

How would you handle a new provider that retains prompts for a different purpose?

References

GDPR: official text · EDPB: legal basis