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Trustworthiness & Verifiability Scorers

Score outputs based on their credibility and ability to be externally verified.

Description

Scores how checkable an output is — whether claims can be independently confirmed, whether citations resolve and support, whether the confidence expressed matches the evidence available. Sits above groundedness by assessing verifiability rather than support.

When it fits

Where a downstream reviewer must decide how much scrutiny to apply, and a triage signal is more useful than a binary pass.

When it does not fit

Where every output is reviewed anyway. The score adds nothing if the scrutiny is constant.

Governance requirement

The score must be calibrated against actual outcomes periodically, or it drifts into a number people trust without basis.

Characteristic failure

Uncalibrated confidence. A trust score of 0.9 that corresponds to 60% accuracy in practice is worse than no score, because it licenses reduced review.

Example

A review queue ordered by verifiability score, so a reviewer's limited attention goes to the outputs least able to support themselves.

AI solution components10
  • Factual Verifiability Scorer
  • Citation Support Confidence Estimator
  • Reference-Based Output Audit Scorer
  • Verifiable Attribution Classifier
  • Unsupported Assertion Risk Scorer
  • Fact Density Analyzer
  • Truthfulness Benchmark Alignment Checker
  • Temporal Validity Verifier
  • Cross-Model Consensus Scorer
  • Trust Score Composite Synthesizer
AI opportunity solutions1