Evidence and SourcesEmerging termEmerging term
Evidence Gap
An evidence gap is missing information that prevents a high-confidence trust decision—even when no negative evidence has been found.
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Evidence and Sources
Evidence quality, gaps, freshness, corroboration, and independent public sources.
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Evidence and SourcesEmerging termEmerging term
Evidence Freshness
Evidence freshness is how recent and still-applicable a source or signal is relative to the decision being made.
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- AI Answer DriftAI answer drift is when repeated asks about the same fact produce shifting claims, sources, or confidence without new evidence.
- Citation CircularityCitation Circularity is a closed loop of references that cite one another without introducing independent primary evidence.
- Citation LaunderingCitation laundering is making a weak or false claim look sourced by pointing to pages that do not actually support it—or that only repeat the claim.
- Claim LineageClaim Lineage is the traceable path of a claim from its origin through restatements, citations, and transformations.
- Claim StabilityClaim stability is whether a trust-relevant statement remains consistent across time, sources, and repeated AI answers.
- Confidence MiscalibrationConfidence Miscalibration is a mismatch between how sure a system or person sounds and how well that confidence matches accuracy.
- Corroboration DepthCorroboration depth is a ShouldEye concept describing how many independent, high-quality sources support a trust-relevant claim.
- Evidence DiversityEvidence Diversity is the spread of independent evidence types and sources supporting or challenging a claim.
- Evidence FreshnessEvidence freshness is how recent and still-applicable a source or signal is relative to the decision being made.
- Evidence GapAn evidence gap is missing information that prevents a high-confidence trust decision—even when no negative evidence has been found.
- Evidence IntegrityEvidence Integrity is the degree to which evidence remains authentic, unaltered, and traceable from source to use.
- Evidence SufficiencyEvidence Sufficiency is whether the available evidence is enough to support a trust decision at an acceptable confidence level.
- Machine Trust SignalA machine trust signal is an attributable indicator an automated system can ingest when estimating risk or credibility.
- Machine-Verifiable TrustMachine-verifiable trust is a trust claim that can be checked by software against attributable evidence, not accepted from fluent text alone.
- Model EchoModel echo is when multiple models repeat the same unsupported claim because they share training patterns or retrieved junk—not because evidence improved.
- Source Independence ScoreSource independence score is a ShouldEye concept for how independent corroborating sources are from the claimant and from each other.
- Synthetic Source LoopA synthetic source loop is when AI-generated pages cite each other until a fabricated claim appears independently corroborated.
- Trust CoverageTrust coverage is how completely the available evidence addresses the questions that matter for a decision.
- Trust Evidence GraphA trust evidence graph is a ShouldEye concept for mapping claims to supporting and conflicting public evidence nodes.