What the assessment actually
measures
The Institute of AI assesses practice, not recall. There is no multiple-choice paper and no tool checklist. There are five things it wants you to account for.
Five questions your evidence
has to answer
Each one is applied at every grade. What changes between Student and Fellow is the scope of practice the answers are drawn from.
- 01Framing
Whether you picked the right problem
The most consequential AI decision is usually made before any model is chosen. The assessment looks at how you scoped the problem, what you ruled out, and whether you were willing to say AI was the wrong tool.
“What did you decide not to build, and why?”
- 02Method
Whether your approach survived contact
Plans are cheap. The assessment asks what actually happened: the constraints you hit, the approach you changed, and the reasoning that carried you from one to the other.
“Where did your first approach fail, and what replaced it?”
- 03Evaluation
Whether you know if it worked
A system nobody measured is a system nobody can defend. The assessment looks for evaluation you designed yourself, against outcomes that matter rather than metrics that flatter.
“How would you know if this had quietly stopped working?”
- 04Responsibility
Whether risk was handled or deferred
Governance, bias, privacy and impact are treated as first-order parts of the practice. The assessment asks what you did about them while the work was live, not what the policy said.
“Who could this have harmed, and what did you do about it?”
- 05Judgement
Whether you can account for the calls you made
Every grade turns on this. The assessment is looking for a practitioner who can explain their decisions to someone who was not there, clearly enough that the reasoning can be challenged.
“Talk me through the call you are least comfortable with.”
What carries weight, and what does not
- The decisions you made and defendedThe number of tools on your CV
- Evidence drawn from real AI workCourse completion certificates
- How you handled what went wrongA portfolio of projects that all went well
- Practice assessed against a published frameworkSeniority, job title, or years served
Try the five questions on yourself
The free self-assessment puts the same dimensions to you in a couple of minutes and tells you which grade your practice supports. No account, no cost. Joining the Institute of AI as a Member is free as well.
How hard AI accreditation is
An honest account of the bar at each grade, and the evidence that will not carry one.
Build your AI evidence
What to keep from the work you are doing now so an assessor, or an employer, can follow your reasoning.
Professional or Fellow
The two senior grades side by side: what each one asks for, and which your practice supports now.

