A workshop translates AI literacy into your own work practice: which AI do we use, which risks are attached, and which evidence should we retain?
The workshop starts with the tools, processes and decisions the team already uses. That makes AI literacy concrete rather than abstract.
Participants define which knowledge and skills are needed for users, reviewers, managers, compliance, privacy and IT.
The workshop produces more than generic inspiration: it creates choices for follow-up training, policy, evidence file and management reporting.
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.
Use LearnWize when the workshop should continue into assessment, learning paths, certificates and central reporting per team.
Use LearnWize when the workshop should continue into assessment, learning paths, certificates and central reporting per team.
Usually a first role matrix, risk picture, learning goals, evidence route and concrete next actions for training or governance.
That depends on interaction and goal. For working sessions, 8 to 20 participants is often practical; for awareness the group can be larger.
Yes, although a live or hybrid session often works better for role mapping and interaction.
