AI literacy that scales across the institution.
National AI strategies and the EU AI Act place literacy obligations on enterprises. Cabier's AI Literacy mission extends the Cabier Learning Platform into a governance-first curriculum: not prompt engineering, but decision-making discipline.
Four audiences
One curriculum, four lenses.
Board and committee members
Sufficient fluency to challenge management on AI risk, evidence quality and third-party reliance without becoming a technologist.
Risk, compliance and legal
Translate EU AI Act categories, SR 11-7 tiers, and model risk taxonomies into the same control language the institution already uses.
Frontline operators
Recognise when a model output is a suggestion, a control, or a decision that requires human review — and how to document it.
Procurement and vendor management
AI-specific diligence questions: model provenance, training-data provenance, evaluation recency, subprocessor residency and exit rights.
Outcomes
What learners can do after the programme.
Explain what a Trust Gate is and why it matters
Read a model-registry entry and identify its jurisdictional scope
Judge whether an AI use case needs an executive sign-off
Describe the difference between a model, a system and an agent under Cabier taxonomy
Escalate an AI incident with the right fields and evidence
Mapped to national AI literacy mandates.
Canada AI for All, EU AI Act Article 4, UK DSIT skills framework, and JFSA human resource development guidance are folded into one learning architecture with jurisdiction-specific attestations.