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Hard case

A quality finding where the classification is genuinely ambiguous because a business rule, legal requirement, or intentional design choice might explain the pattern, requiring lineage tracing or direct confirmation from the data's owning team before a fix is committed, rather than a mechanical application of the six-failure-mode test.

Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.

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 Data Governance: The Data Chair

A quality finding where the classification is genuinely ambiguous because a business rule, legal requirement, or intentional design choice might explain the pattern, requiring lineage tracing or direct confirmation from the data's owning team before a fix is committed, rather than a mechanical application of the six-failure-mode test.

Engineering Judgment and Professional Formation

One of five recurring, real-world scheduling situations, part-time hours, an externally gated technical block, multiple concurrent builds, a passed docking window, or cohort pacing, identified in this topic (Section 3H) as requiring a specific adjustment to the standard interleaving guidance rather than abandonment of the principle.

Senior AI Scam Defense

A request in which the underlying rail or pattern is correctly identifiable but does not, on its own, resolve whether the specific instance is legitimate or fraudulent, requiring the rail check to be paired with independent verification rather than used alone, as catalogued in Section 3G.

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.