Evidence gap
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.
Defined in 4 GAGE programs, which carry 5 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.
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.
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.
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.
A requirement whose control is in place but whose proof cannot be retrieved by somebody other than the owner. A different finding from a control gap, with a different fix.
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 module of every program is free with a free account.
- Mock Defense I · The Capstone: Deploy and Defend, Certified Agentic AI Governance Professional (CAAGP)
- The obligations register and traceability · Compliance Management Systems and Regulatory Intelligence, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- The AI Liability Landscape: Proving Fault When AI Causes Harm · Regulatory Interplay and Liability, EU AI Act Implementation Expert
- Defending a design decision with evidence · Design Reviews and Engineering Communication, Engineering Judgment and Professional Formation
- Evolve it from what failed: turn the review verdict into the next iteration · Capstone: The GAGE Design Review, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Evidence gap 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.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
One lesson on this page teach it as a primary outcome.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
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.
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Governance Managerneeds it at depth
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Chief Privacy Officer, AI privacy editionneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
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.
Where the frameworks place it: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; NIST AI RMF MAP and MEASURE; ISO/IEC 42005.
One interview question about it
Classify a specific AI system under the EU AI Act and name the obligations that follow, including what applies now and what is deferred.
Asked of candidates for eu ai act obligations and timelines. 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.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.