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Evidence gap

The collective term for the structural obstacles that make proving AI-caused harm harder than proving a standard product defect: black-box opacity, version drift, multi-party supply chain opacity, the counterfactual problem, and information asymmetry.

Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.

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 point in a design defense where the engineer does not yet have sufficiently strong evidence to support a claim at the confidence level the decision requires. The mature response to an evidence gap is to state it plainly and propose a specific plan to close it, rather than substituting confidence for missing evidence.

EU AI Act Implementation Expert

The collective term for the structural obstacles that make proving AI-caused harm harder than proving a standard product defect: black-box opacity, version drift, multi-party supply chain opacity, the counterfactual problem, and information asymmetry.

Agentic AI Governance: Applied Mastery

A finding where the underlying decision in the dossier is probably correct but unsupported by a citation, quote, or derivation sentence, requiring the missing support to be added rather than the decision changed.

Engineering Judgment and Professional Formation

A finding indicating a design claim was not adequately proven in the review package, regardless of whether the underlying claim is actually true. Closed by producing the missing test, data, or citation, not by changing the design.

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.