The EU AI Act is the world's first comprehensive AI regulation. To many companies it first looks confusing. This page explains in plain language what the EU AI Act governs, which risk classes exist, what Art. 4 on AI literacy has required since 02.02.2025 and how it relates to GDPR. It is the explainer pillar. The concrete consulting offer is on EU AI Act consulting that makes your AI practically prepared.
Sounds like your case? A short strategy call via our booking calendar clarifies that quickly, alternatively email info@ki-beratung.co.
The EU AI Act, officially the European Union's AI regulation, came into force in 2024 and applies in stages over several years. It does not regulate AI across the board but by the risk of each application. The goal is to enable innovation while protecting fundamental rights and safety. It applies to providers and deployers of AI systems who use or offer them in the EU, regardless of where the company is based.
The EU AI Act divides AI systems into four levels. Prohibited practices, such as social scoring by public authorities or manipulative systems, are banned. High-risk systems, for example in critical infrastructure, human resources or credit scoring, face strict duties like risk management, documentation and human oversight. Systems with limited risk, such as chatbots, face transparency duties, users must know they are interacting with AI. Systems with minimal risk, the large majority, are largely free. The first practical step for every company is to assign its own applications to these classes.
Since 02.02.2025, Art. 4 applies. It requires companies to ensure a sufficient level of AI literacy among everyone who operates or uses AI systems on their behalf. It is important what this is not. It is not an obligation to a specific certificate and not a formal exam. What is required is competence appropriate to role, task and context, and demonstrable in case of doubt. In practice this means leadership, business units and the people at the systems each need suitable knowledge, and the company should be able to evidence how it builds it.
The pragmatic path consists of a few steps. First, an inventory of all deployed and planned AI systems. Second, assign each system to a risk class and derive the resulting duties. Third, plan the literacy build-up under Art. 4, clarifying who needs which knowledge and how it is taught. Fourth, ensure documentation and transparency, especially for systems with user contact. Fifth, add the GDPR view, because both frameworks interlock. These steps can be integrated into an AI roadmap instead of running them as a separate project.
The EU AI Act and GDPR govern different things but overlap. GDPR protects personal data and regulates its processing. The EU AI Act governs AI systems by risk. In practice both meet at many points, such as transparency toward data subjects, documentation and automated decisions. Anyone introducing AI should consider both together so no requirement slips through. Where data is sensitive, it helps to keep processing in Germany and the EU.
Many see regulation only as a burden. With the EU AI Act the other view pays off. If you clarify early which applications are allowed and how competence is built, you do not have to slow AI projects out of uncertainty. Compliance turns into a head start because you build on a cleared frame rather than assumptions. And toward customers and partners, demonstrable AI literacy is increasingly a trust signal.
For the next step, book via our booking calendar, or reach out at info@ki-beratung.co.
Book your strategy call via the calendar: Book a strategy call. Alternatively, reach us by email at info@ki-beratung.co.
Or send an email to info@ki-beratung.co