AI literacy training (EU AI Act Art. 4)
Training that builds the AI literacy of employees as required by Article 4 of the EU AI Act.
Explanation
AI literacy training teaches employees to use AI safely and responsibly. Companies use it to build and document the AI literacy required by Article 4 of the EU AI Act. In German-speaking countries it is often called a “KI-Führerschein” (AI driving licence).
How it works
In a compact format, employees learn how AI works, where its limits are, which tools are approved and which data may be entered. Hands-on exercises based on their own tasks and a final record of completion, such as a certificate, round off the training.
Example
A mid-sized manufacturer trains staff from sales, support, marketing and engineering in one day. Besides fundamentals and data protection, each group develops concrete use cases for its own daily work.
Why it matters
Since 2 February 2025, providers and deployers of AI systems must take measures to ensure their staff have a sufficient level of AI literacy. A structured, documented training is the obvious way to get there.
What does Article 4 of the EU AI Act require?
Article 4 requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons dealing with AI systems on their behalf. A company becomes a deployer simply by using AI systems, for example by giving employees an AI assistant or an AI translation tool. The obligation has applied since 2 February 2025.
The regulation does not define “sufficient” in hours or topics. What counts are the prior knowledge of the people involved, the context of use and the risks of the systems in question. There is no mandatory certificate or official course. Because interpretation and the legal framework continue to evolve, the current status should be checked with legal counsel where in doubt. This explanation is not legal advice.
What should AI literacy training cover?
Five building blocks have proven useful. Fundamentals: how LLMs and generative AI work, and what they can and cannot do. Limits and risks: hallucinations, bias, prompt injection and the duty to check results. Data protection and internal rules: which tools are approved, which data may be entered, what is off limits. Practice: exercises on real tasks from daily work, including prompt engineering. Legal framework: an overview of the EU AI Act, copyright and labeling of AI content.
Documentation is worthwhile even though no specific form of proof is prescribed: attendance lists with dates, content and duration of the training, certificates, the applicable company AI policy and a plan for refreshers when new tools or use cases are introduced.
Frequently asked questions
Is AI literacy training mandatory?
No specific course is mandatory. Article 4 of the EU AI Act does, however, require providers and deployers of AI systems to ensure sufficient AI literacy among their staff, and training is the most common way to meet that requirement.
Since when does the AI literacy obligation apply?
The obligation under Article 4 of the EU AI Act has applied since 2 February 2025.
Who needs to be trained?
Everyone who works with AI systems on behalf of the company, which can include external contractors. Scope and depth depend on the role and the risk of the use case.