Trust Veracity glossary
AI verification and release control, plainly defined.
Definitions for the concepts that connect AI-generated work, authoritative evidence, workflow rules, and downstream release decisions.
Showing all 6 definitions
AI release control
The operational checkpoint that verifies AI-generated work before it is shared, filed, exported, or used downstream.
AI verification
The process of checking one specific AI-generated output against authoritative evidence, calculations, and business rules.
Evidence validation
Testing whether the sources attached to a claim actually support that claim under the workflow’s requirements.
LLM-as-a-judge
A method that uses one language model to assess another model’s output. It can be useful for evaluation, but it is not a substitute for authoritative source evidence and deterministic checks.
Human-in-the-loop
A workflow in which a person participates in review. Trust Veracity focuses human attention on unresolved exceptions instead of treating human presence alone as proof of accuracy.
Model evaluation
Aggregate testing of a model’s capabilities across benchmarks. It answers a different question from whether one specific business artifact is ready to release.
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