AI literacy & governance


Train people for the system they actually operate.

AI literacy is not a generic prompt class. It connects each role to the data, limitations, approvals, escalation and evidence obligations of the deployed system.

USERS

Use and refusal

What may be asked, how citations are checked, when the system must refuse and when a professional takes over.

OWNERS

Governance and change

Use-case inventory, accountable owner, model/data/vendor register, acceptance thresholds and promotion decision.

OPERATORS

Incident and recovery

Access, monitoring, escalation, evidence preservation, restore, rollback and supplier exit.

Workshop evidence pack

  • system and use-case inventory
  • role-specific learning objectives and operating rules
  • attendance and acknowledgement record
  • human-review and escalation map
  • scenario exercises for unsupported answers and restricted data
  • open decisions and counsel/compliance handoff list
  • review date after material system change

Boundary: ANULUM supplies technical and organizational evidence and can support a DPIA or governance review. It does not provide legal advice or certify compliance.

Make competence part of acceptance.

The system is not ready when only the model works. Users, owners and operators must know their boundaries.

Inspect the control set