The EU AI Act introduces a clear expectation: organisations must ensure that people working with AI systems are sufficiently AI-literate.
This is not just about "providing training". The practical question is: can you demonstrate that your employees use AI responsibly — appropriate to their role and risks?
What does Article 4 (AI literacy) require?
Article 4 requires providers and deployers of AI systems to take measures to ensure, to the best of their abilities, a sufficient level of AI literacy among their staff and relevant persons.
- Knowledge: understanding what AI is (and what it is not).
- Skills: being able to work effectively and critically with AI output.
- Awareness: recognising risks (bias, hallucinations, privacy, security).
- Role-dependent: what counts as "sufficient" depends on context and risk.
What does this mean concretely for organisations?
- Identify who uses AI, with which tools, and for which processes.
- Train employees on role-specific risks and practices.
- Document what is and isn't allowed (policy) and how escalation works.
- Assess and document: "training completed" is usually not enough.
How do you demonstrate compliance?
Supervision and audits revolve around evidence. Ensure you can show what has been learned, by whom, when, and with what result.
- Training + assessment (quizzes, scenarios, practical assignments).
- Registration per employee/role (date, score, certificate).
- Periodic repetition and updates (when new tooling or policies are introduced).
- Management reporting: coverage, gaps, and actions.
Where Qrio helps
Qrio is built to make AI skills measurable: microlearning, assessment, and reporting in one platform.
This way you combine adoption (productivity) with demonstrability (compliance) without additional administrative burden.
Conclusion: from training to demonstrability
Article 4 makes AI literacy an organisational responsibility. Those who organise this well gain not only compliance — but also productivity and trust.