What it is for
The Standard says what AI literacy is. The Implementation Pathway Model shows how an institution can build it: how to assess where people start, decide what to teach first, design pathways for different roles, and keep conformance up to date. It is informative guidance, not a set of requirements.
Five phases of adoption
| Phase | Focus | Indicative duration | Output |
|---|---|---|---|
| 1. Readiness and commitment | Stakeholder alignment, governance, resources | 1 to 2 months | Adoption charter |
| 2. Baseline assessment | Self-assessment, context mapping, gap analysis | 1 to 3 months | Institutional profile |
| 3. Pathway design | Sequencing, program selection, resources, timeline | 1 to 2 months | Implementation plan |
| 4. Implementation | Delivery, ongoing assessment, adjustment | 12 to 24 months | Conformance evidence |
| 5. Sustained conformance | Reassessment, version migration, continuous development | Ongoing | Conformance renewal |
Durations depend on the size and infrastructure of the institution.
Choosing what to teach first
The model offers three sequencing archetypes: foundation first, the recommended default; risk-driven priority, where high-stakes AI is already in use and ethics, evaluation and data literacy are delivered together; and building from strength, starting where a profile is already strong. It explains how to match assessment results to program entry points and how to move from aligned to conforming status within three years.
Also covered
Role selection and role-specific descriptors; people who hold more than one role; the organizational conditions that affect whether individual learning takes hold, including organizational learning debt; periodic reassessment and version migration; worked scenarios for a large academic health system, a mid-size university and a government health authority; a pathway design worksheet and a conformance checklist.