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Failure Mode

A specific, concrete way an AI decision could go wrong, stated precisely enough to be tested (not "the AI might be biased" but "the AI might score candidates from non-English schools lower"). Enumerated before any scoring.

Defined in 4 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in AI Literacy & Professional Conduct.

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 specific way a component or function could fail, as distinct from the general fact that it might fail. A single component typically has more than one distinct failure mode; a motor can fail to turn, turn the wrong direction, or turn at the wrong speed, and each is analyzed separately.

AI Governance: Applied Mastery

A distinct way a system produces a bad output. Enumerating failure modes, rather than describing failure in general, is the core analytical act of this topic and is borrowed from safety engineering's Failure Mode and Effects Analysis.

AI Literacy & Professional Conduct

A specific, concrete way an AI decision could go wrong, stated precisely enough to be tested (not "the AI might be biased" but "the AI might score candidates from non-English schools lower"). Enumerated before any scoring.

AI Data Governance: The Data Chair

In this program's usage, one of the six specific, nameable, testable ways data quality can break; naming the specific failure mode is the diagnostic act that points to a specific fix.

Engineering Judgment and Professional Formation

A specific category or manner in which a system or component can fail. In this program, robot failures are sorted into four independent failure-mode categories: mechanical, sensor, software, and human.

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.