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Field checklist

The four-question fast version of the five-question decision test, described in Section 3I, used for a quick loop-ownership read in a hallway conversation or early design sketch rather than a full written analysis. It trades some rigor for speed and is not a substitute for the full test when a decision carries real consequence.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Engineering Judgment and Professional Formation.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Engineering Judgment and Professional Formation

A short, concrete, practitioner-facing list of judgment checks meant to be applied consistently in real design reviews and go/no-go decisions, as distinct from a technical specification or a compliance document. This topic's Section 3I checklist is an example, designed to be usable under real time pressure rather than only in a classroom setting.

The AI Lobbyist: Certified AI Policy Strategist

The Section 3P pre-delivery audit that walks a finished talking point through every step of the translation model, the threat-inflation test, and the disclosure check before it leaves the lobbyist's desk.

Engineering Judgment and Professional Formation

The four-question fast version of the five-question decision test, described in Section 3I, used for a quick loop-ownership read in a hallway conversation or early design sketch rather than a full written analysis. It trades some rigor for speed and is not a substitute for the full test when a decision carries real consequence.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Field checklist starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Turns technical uncertainty into a one-page decision: material risks, trends, exceptions, remediation, and what the board is being asked to accept.

One lesson on this page teach it as a primary outcome.

Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.

One lesson on this page teach it as a primary outcome.

Identifies value conflicts in an AI use, asks who benefits and who bears risk, and turns principles into criteria a review can apply.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“board reporting”“executive communication”“brief executives”“present to leadership”“executive summary”“technical fluency”

Where the frameworks place it: OECD AI Principles; UNESCO Recommendation on the Ethics of AI.

One interview question about it

Brief a board on an AI risk in two minutes. What do you say, and what do you leave out?

Asked of candidates for executive and board communication on ai risk. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.