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Load-bearing claim

A claim that actually supports the budget request, as opposed to a decorative one that adds nothing. The discipline is to make only the smallest set of load-bearing claims, because every claim made is a claim that must be defended, and a non-load-bearing claim is pure attackable surface with no upside. Test whether a claim is load-bearing by asking whether removing it would actually change the ask, the risk picture, or the alternative comparison; if the budget survives its removal untouched, it was decorative. Watch, too, for claims that quietly depend on each other, where losing one weakens a second you thought was independent, and for the fact that which claims are load-bearing can shift with the audience: a claim that carries no weight with a CFO may be exactly what a values-minded director needs to hear.

Defined in 4 GAGE programs, which carry 7 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.

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.

AI Governance: Applied Mastery

A claim that actually supports the budget request, as opposed to a decorative one that adds nothing. The discipline is to make only the smallest set of load-bearing claims, because every claim made is a claim that must be defended, and a non-load-bearing claim is pure attackable surface with no upside. Test whether a claim is load-bearing by asking whether removing it would actually change the ask, the risk picture, or the alternative comparison; if the budget survives its removal untouched, it was decorative. Watch, too, for claims that quietly depend on each other, where losing one weakens a second you thought was independent, and for the fact that which claims are load-bearing can shift with the audience: a claim that carries no weight with a CFO may be exactly what a values-minded director needs to hear.

AI Data Governance: The Data Chair

A statement in the chapter that a reviewer is specifically trained to test first, because the compliance conclusion depends on it (the lawful basis, the special-category screen, the provenance of data feeding the system's highest-risk output). Load-bearing claims need the strongest evidentiary support in the chapter; background context does not need the same density of citation.

AI Literacy & Professional Conduct

A specific, checkable assertion (a statistic, figure, citation, name, or fact) that a deliverable's main conclusion depends on, such that if it were false the conclusion would collapse; the priority target for verification.

Engineering Judgment and Professional Formation

The specific assumption in a design that, if wrong, breaks the robot's core case; experienced reviewers deliberately search for this claim and the thinnest evidence supporting it before asking their hardest question.

AI Literacy & Professional Conduct

A statement a decision actually rests on; the claims that receive full verification because the decision is wrong if they are wrong.

Where it is taught

The exact lessons this term appears in. The first 7 topics of every program are free with a free account.

Terms it appears with

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