Know where you stand with AI. Know what to do next.

What it is

A self-report instrument of 25 behaviorally anchored rating-scale items, 15 scenario-based judgment items, and a short institutional-readiness checklist. It returns a composite score, a proficiency level, and a breakdown across each of its five domains.

Length

40 items, plus the readiness checklist.

Time

20 to 25 minutes. No time limit.

Levels

Acquire, Deepen, Create.

Tracks

Nine, by professional context.

Result

Not pass or fail. A baseline and a set of gaps.

There is no passing score. The instrument establishes where somebody is and what to develop, which is a different job from certifying them.

What it measures, stated precisely

The assessment measures professional judgment and self-reported practice against behaviorally anchored descriptions. Each point on a scale is anchored to a described behavior rather than to an adjective, and the scenario items ask what a respondent would do rather than what a term means. It does not observe demonstrated practice, and it is not described as doing so.

The five domains vary by professional context, because the competencies that matter to a clinician are not the ones that matter to a teacher. Across every track they address the human dimensions of AI use, ethics and responsible practice, technical foundations, applied workflow integration, and professional or institutional development.

How it is validated

Every track is content-validated before it is published. An independent panel of at least six subject matter experts, none of them the item authors, rates every item on two criteria: relevance to the construct and clarity of wording. The instrument is accepted at a scale-level S-CVI/Ave of 0.90 or above, following Lynn (1986) and Polit and Beck (2006). Items below threshold are revised and resubmitted for a second independent round rather than dropped.

Content validity is one psychometric property, not the whole set. Reliability and construct validity require accumulated response data and are reported as they are established, not before.

Framework alignment

Results are reported against internationally recognized frameworks: the UNESCO AI Competency Frameworks, the UNESCO Recommendation on the Ethics of Artificial Intelligence, the AI Fluency 4D Framework, and the U.S. Department of Labor AI Literacy Framework.

Each track is additionally anchored to the professional body guidance governing its own audience rather than borrowing from another sector. The legal track answers to ABA Formal Opinion 512, the financial track to FSB and IOSCO guidance, the executive track to NACD and OECD, the creative track to C2PA, and so on.

How to get access

The assessment is delivered through participating organizations. Your school, university or employer holds an access code and distributes it; entering that code at aica.americanibt.com starts the assessment immediately and directs you to the right track automatically.

Individual access codes are not yet sold directly. If your organization is not registered, register your interest on the assessment site and we will come back to you when your track and your sector are available.

What an organization receives

• A workforce or faculty competency profile, broken down by domain.
• A recommended development focus for each participant.
• A baseline that can be re-measured to show movement over time.

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