The GDPR (General Data Protection Regulation) sets the rules for processing personal data in the European Union. When a company uses artificial intelligence that processes personal data (names, emails, addresses, customer data, employee data), it must ensure that this processing complies with the principles and obligations of the GDPR. The European AI Act, in force since 2024, adds specific requirements for high-risk AI systems.
Using AI in a company is not, in itself, incompatible with the GDPR. The question is how it is implemented. A well-planned implementation can be fully compliant. A careless implementation can expose the company to significant fines and reputational damage.
The regulatory context of AI in 2026
In 2026, companies that use AI must consider two main regulations:
- GDPR (2018): regulates the processing of personal data. It applies whenever AI processes data that identifies or can identify a person.
- AI Act (2024): regulates the use of AI systems in the EU. It classifies systems by risk level and imposes proportional obligations. Most business applications (process automation, chatbots, document processing) fall under limited or minimal risk.
GDPR principles applicable to AI
| Principle | What it means in practice with AI |
|---|---|
| Lawfulness and purpose | Personal data may only be processed by AI for specific and legitimate purposes. |
| Data minimization | AI should only receive the personal data that is strictly necessary. Do not feed the model unnecessary data. |
| Accuracy | Data must be correct. AI responses based on incorrect data can violate this principle. |
| Storage limitation | Data processed by AI should not be kept indefinitely. Define retention policies. |
| Security | Protect data processed by AI with appropriate technical measures (encryption, access control). |
| Transparency | Data subjects must know that their data is processed by AI and for what purpose. |
Concrete obligations for companies
- Data Protection Impact Assessment (DPIA): mandatory when AI processing involves personal data on a large scale or special categories of data.
- Record of processing activities: document what data the AI processes, for what purpose, and under what legal basis.
- Vendor contracts: if you use third-party AI APIs (e.g., Azure OpenAI), make sure the contract includes appropriate data protection clauses.
- Data subject rights: ensure that data subjects can exercise their rights (access, rectification, erasure, objection) over data processed by AI.
- Automated decisions: Article 22 of the GDPR gives data subjects the right not to be subject to decisions based solely on automated processing that have significant effects on them. If AI makes decisions that affect people (e.g., credit approval, candidate selection), human intervention must be ensured.
Practical compliance measures
- Process data in the EU: use AI services with data centers in Europe (e.g., Azure West Europe). Avoid letting personal data leave the European area.
- Do not use data for training: contractually ensure that the AI provider does not use the company's data to train models. Azure OpenAI offers this guarantee by default.
- Anonymize when possible: if the AI does not need personal data to function, anonymize or pseudonymize it before processing.
- Access control: limit who can access and interact with the AI systems that process personal data.
- Logs and auditing: log all interactions with AI systems for traceability.
- Human review: keep a human in the loop for decisions with a significant impact on people.
Common mistakes and how to avoid them
- Using free ChatGPT with customer data. The data may be used for training, and there are no compliance guarantees. Use enterprise services instead (see Azure OpenAI).
- Not informing data subjects. If you process customer data with AI, customers must be informed (updated privacy policy).
- Ignoring Article 22. Automated decisions that affect people require specific safeguards.
- Not documenting. Compliance requires documentation: processes, impact assessments, security measures.
- Assuming the vendor handles everything. Responsibility lies with the company that decides to use the AI. The vendor is a data processor.
Compliance checklist
- Legal basis for AI processing of personal data identified and documented.
- DPIA carried out (if applicable).
- Record of processing activities kept up to date.
- Contract with the AI provider includes data protection clauses.
- Data processed in EU data centers.
- Guarantee that data is not used to train models.
- Privacy policy updated to include the use of AI.
- Mechanisms for exercising data subject rights implemented.
- Human review guaranteed for automated decisions with significant impact.
- Logs and auditing active.
At Engibots, regulatory compliance is a baseline requirement in every AI project. We prioritize European infrastructure, data that is not shared with third parties, and complete documentation of all protection measures.