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Public-sector organizations need to use AI not only efficiently, but also explainably, carefully, and controllably. LearnWize translates AI literacy into public values, citizen rights, and evidence.
Evidence chain
LearnWize Article 4
When AI touches services, supervision, policy, or communication, employees need to understand risks and explain what human oversight means.
AI output should not become leading without context.
Citizens should not be affected without explanation.
Transparency requires plain language and documentation.
Leadership needs evidence for accountability.
Document which teams use AI, which tasks are involved, and which knowledge each role needs.
Connect training to the context in which AI is used, including impact on candidates, citizens, customers, or employees.
Let employees practice with realistic work situations, not only generic AI explanations.
Keep participation, scores, certificates, and completion records as evidence that understanding was tested.
Give HR, Legal, Compliance, IT, and leadership a clear view of where the organization stands.
Decide when training needs to be updated because of new tools, policies, roles, or risks.
For services, policy, assessment, and citizen contact.
For DPIA/FRIA context, data use, and transparency.
For oversight, priorities, and accountability information.
Map roles, AI use, and missing evidence.
Connect teams to use cases, risks, and learning paths.
Launch LearnWize training by audience.
Test understanding with scenarios and certificates.
Deliver reporting, evidence dossier, and refresh advice.