A good trainer translates Article 4 into recognisable work situations: assessing AI output, protecting privacy, spotting risks and recording decisions.
The trainer brings AI literacy back to daily decisions: which AI do staff use, what is allowed, and when is human control needed?
Not every employee needs the same level. The trainer helps distinguish groups and define suitable learning goals.
Training is stronger when the organisation can show who joined, what was learned and what follow-up remains.
The route starts with AI use, roles and risk. Learning goals, suitable training, assessment, certificates and management reporting follow from that.
The page is built around Article 4, the AI literacy definition in Article 3(56), European Q&A and Dutch DPA guidance.
Zahed Ashkara works at the intersection of AI governance, the EU AI Act, GDPR and practical responsible AI adoption.
A standalone session is weak evidence. A stronger file combines role mapping, learning goals, training records, scores, certificates and follow-up.
Last substantive update: June 2026.
LearnWize helps extend training into role-based modules, certificates, training records and reporting per team.
LearnWize helps extend training into role-based modules, certificates, training records and reporting per team.
A trainer helps employees and teams understand how to use, assess and document AI responsibly in their own work context.
It depends on the goal. E-learning is scalable; a trainer is stronger for interaction, sector-specific examples and complex questions.
Yes. The focus then is responsibility, risk steering, governance, reporting and evidence.
