Does GDPR apply to all AI systems?

GDPR applies whenever an AI system processes personal data. If your AI only works with fully anonymized or synthetic data, it falls outside GDPR scope. In practice, however, most business AI applications process personal data at some point.

Do I need to conduct a DPIA for every AI project?

A DPIA is mandatory for high-risk processing. AI systems that process personal data, create profiles, or make automated decisions almost always require a DPIA. When in doubt, it is wise to always conduct a DPIA.

Can I use customer data to train my AI model?

That depends on your legal basis and the original purpose for which the data was collected. In many cases, explicit consent is needed, unless you can demonstrate a legitimate interest. In any case, make sure you maintain a processing register and inform data subjects.

What if my AI provider is based outside the EU?

When transferring personal data to countries outside the EU/EEA, you need additional safeguards such as Standard Contractual Clauses (SCCs) or an adequacy decision. Always verify where your AI provider stores and processes data.

How can AIFAIS help with GDPR compliance for AI?

AIFAIS guides SME businesses in implementing AI solutions that are fully GDPR-compliant. We help with conducting DPIAs, drafting data processing agreements, and implementing privacy by design in your AI development process.

GDPR and AI: What You Need to Know

Why GDPR and AI are inseparably linked

AI runs on data, and as soon as personal data is involved, the GDPR applies. Here are the key facts:

Fines for GDPR violations can reach up to 4% of annual global revenue
In 2025, the Dutch DPA issued 14 fines related to AI data processing
78% of SMEs using AI underestimate the privacy implications
Customer data for chatbots, email addresses in AI marketing, and CRM data all fall under GDPR
Incorporating GDPR compliance from day one prevents legal issues and builds customer trust
The Dutch Data Protection Authority has been actively monitoring AI-related processing since 2025
AIFAIS advises businesses to integrate privacy by design as standard in every AI project

The 6 lawful bases for data processing in AI

The GDPR recognizes six lawful bases for processing personal data. In AI applications, these are most common:

1. Consent: explicit, informed, and revocable. Most vulnerable basis for continuously learning AI systems
2. Legitimate interest: offers more flexibility, but requires a written balancing test (DPIA)
3. Performance of a contract: when AI processing is necessary for service delivery
4. Legal obligation: when legislation requires data processing
5. Vital interest: rarely relevant for commercial AI applications
6. Public task: primarily for government institutions
Tip: determine which basis applies beforehand, as this defines your obligations

7 data subject rights in automated decision-making

Article 22 of the GDPR protects individuals against solely automated decisions. These are the core rights:

1. Right to human intervention in AI decisions about credit, job applications, or insurance
2. Right to explanation: data subjects must be able to understand the logic behind an AI decision
3. Right to erasure (Article 17): data must also be removed from training sets
4. Right of access: data subjects may request what data an AI system holds about them
5. Right to rectification: incorrect data in AI systems must be corrected
6. Right to data portability: data must be available in a machine-readable format
7. Right to object: data subjects can object to profiling by AI systems

DPIA: 5 mandatory steps for AI projects

A Data Protection Impact Assessment is mandatory when AI systems process personal data at scale. The Dutch DPA has explicitly designated AI as requiring a DPIA.

1. Describe the purpose and necessity of AI processing
2. Inventory which personal data is processed and in what volumes
3. Assess the risks for data subjects on a scale from low to high
4. Define technical and organizational measures (encryption, access control, logging)
5. Document the assessment and retain it for the supervisory authority
At AIFAIS, we help businesses create a DPIA that is both legally sound and practically workable
Average turnaround time for a DPIA at AIFAIS: 2-3 weeks

8 practical compliance steps for your AI project

GDPR compliance starts with a clear overview. Follow these steps:

1. Create a register of processing activities per AI application (legally required)
2. Record per system what data is used, on what basis, and the retention period
3. Implement privacy by design: choose the most privacy-friendly options by default
4. Use anonymized or pseudonymized data wherever possible
5. Limit data collection to what is strictly necessary (data minimization)
6. Conclude data processing agreements with all external AI service providers
7. Verify where data is stored: within or outside the EU/EEA
8. Schedule an annual privacy audit of all AI systems

GDPR and AI: What You Need to Know

The 6 lawful bases for data processing in AI

7 data subject rights in automated decision-making

DPIA: 5 mandatory steps for AI projects

8 practical compliance steps for your AI project

Frequently Asked Questions about GDPR and AI: What You Need to Know

Does GDPR apply to all AI systems?

Do I need to conduct a DPIA for every AI project?

Can I use customer data to train my AI model?

What if my AI provider is based outside the EU?

How can AIFAIS help with GDPR compliance for AI?

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