The Complete Guide for Businesses
Implementing Artificial Intelligence requires special care when handling personal data. This guide shows you how to use AI in a GDPR-compliant manner.
Updated: July 2026
Artificial Intelligence often processes large amounts of personal data. The GDPR sets clear requirements for this processing. Violations can result in fines of up to 20 million euros or 4% of global annual turnover.
Article 22 GDPR regulates automated individual decisions including profiling. Data subjects have the right not to be subject to a decision based solely on automated processing.
Exceptions apply only for contract performance, legal authorization, or explicit consent.
The GDPR requires that only data necessary for the purpose is processed. This also applies to training AI models. Outlook: with the “Digital Omnibus”, the EU plans a new Article 88c GDPR to make explicit that AI training can be based on legitimate interest — subject to a balancing test and specific transparency and safeguard requirements. This part of the package has not been adopted yet; until then, the current legal framework applies unchanged.
The choice between On-Premise and Cloud solutions has significant implications for GDPR compliance.
For particularly sensitive data, we recommend On-Premise solutions or cloud services exclusively in German/EU data centers.
Using ChatGPT and similar cloud AI services requires special caution. Personal data should not be entered in prompts. For sensitive company data, we recommend On-Premise alternatives. The EU AI Act adds to this: from 2 August 2026, chatbots and AI-generated content must be labelled as such (Article 50).
In most cases, yes. A DPIA is required when processing is likely to result in a high risk to the rights and freedoms of natural persons - which is the case for many AI applications.
Yes, but only under strict conditions: There must be a legal basis, data minimization must be observed, and data subjects must be informed. Anonymized data is preferable from a data protection perspective. Looking ahead, the EU plans to regulate training on the basis of legitimate interest explicitly (draft Article 88c GDPR in the Digital Omnibus) — but this has not been adopted yet.
GDPR violations can lead to significant fines. For AI systems, transparency and documentation obligations often add to the severity. Careful preparation is therefore essential.
You must be able to explain the decision-making logic in an understandable way. This requires technical logging mechanisms and traceable documentation of the algorithms used.
We advise you on selecting and implementing GDPR-compliant AI solutions - from Data Protection Impact Assessment to technical implementation.
Or start the AI Quick Check first:
Start AI Quick Check