AIExplainabilityFraud
Rules-First Integrity Beats Black-Box AI
A fraud system that cannot explain its decisions will not survive parliamentary or audit scrutiny. Start with explainable rules; add ML only when replay remains possible.
Key Notes
- Paid-not-verified, variation spikes, and split patterns are immediate wins.
- Store rule versions + snapshots so decisions can be reproduced.
- Explainability is the admission ticket to government adoption.
- Black-box models fail in accountability contexts.