Layer 2 · Measurement ecosystem · Direct · Self-report · Individual

ALiF Self-Assessment Questionnaire (ALiF-SAQ)

A self-report questionnaire that profiles a person's AI literacy across the sixteen sub-competencies to guide their learning.

Status
Active · Phase 1 validation
Version
v2 (designated v2.0 in the ALiF 2.0 release; items unchanged)
For
Program coordinators and learners
Page updated
October 2026

What it measures

The ALiF-SAQ asks people to rate their own experience and confidence across 48 core items covering the sixteen sub-competencies, with up to 8 additional items for each selected professional role. It takes about 20 to 30 minutes, or up to 40 minutes with several role modules. Scores are averaged by sub-competency and component and placed on the three ALiF levels.

What it is for

The results are used to recommend a learning pathway: where to start, which modules to take and which to skip. The questionnaire is designed for development and diagnosis, not for credentialing.

What it does not measure

It measures how competent people believe they are, not how they perform. Self-ratings can be inflated, especially at lower levels of competence, and are affected by how people want to be seen. The SAQ does not assess performance in real AI use, does not produce safety assessments, and does not replace observation or performance-based evaluation.

Known limitations

Some sub-competencies are measured by only one or two items, which limits their reliability. The questionnaire has been piloted in health care and higher education in one country; its properties in other regions, languages and professions have not yet been established.

Validation

To protect the validation, the item wording is not published on this site. Coordinators receive the questionnaire and administrator guide from the ALiF core team.

Documents

Documents will be available to download when they are released under an open licence. Until then, contact the ALiF core team.