Responsible AI Platform
Workshop with concrete output

AI literacy workshop for teams

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?

Map AI practice together

The workshop starts with the tools, processes and decisions the team already uses. That makes AI literacy concrete rather than abstract.

  • Inventory AI use per team.
  • Discuss risks, data and decision impact.
  • Distinguish experiment, policy and high-risk context.

Define learning goals per role

Participants define which knowledge and skills are needed for users, reviewers, managers, compliance, privacy and IT.

  • Role matrix for AI literacy.
  • Priority for teams with sensitive data or decision impact.
  • First setup for onboarding and refresh cycles.

Output you can use

The workshop produces more than generic inspiration: it creates choices for follow-up training, policy, evidence file and management reporting.

  • 30-day action list.
  • First evidence structure for Article 4.
  • Advice for course, masterclass or platform route.
LearnWize

After the workshop: retain training records

Use LearnWize when the workshop should continue into assessment, learning paths, certificates and central reporting per team.

For teams and organizations

After the workshop: retain training records

Use LearnWize when the workshop should continue into assessment, learning paths, certificates and central reporting per team.

FAQ

Frequently asked questions

What does an AI literacy workshop deliver?

Usually a first role matrix, risk picture, learning goals, evidence route and concrete next actions for training or governance.

How many people can join?

That depends on interaction and goal. For working sessions, 8 to 20 participants is often practical; for awareness the group can be larger.

Can the workshop be online?

Yes, although a live or hybrid session often works better for role mapping and interaction.