Black-Box Models Meet Basel Requirements: The Conflict
- James W.
- 3 days ago
- 1 min read

Basel III explicitly requires: "institutions must have a comprehensive understanding of the risk models and measurement systems used."
This makes sense. How can you manage what you don't understand?
But now deploy deep learning for credit risk. 200+ layers. 2 million parameters. Decisions emerge from millions of calculations. No human can trace the logic from inputs to output.
The model works (often better than traditional models). It's just incomprehensible.
So banks face a dilemma: deploy the accurate model (that's opaque) or the explainable model (that's less accurate).
Competitive pressure means: deploy the opaque one, then deal with governance afterwards.
ACRGA-EXPLAIN provides that governance: explainability layers, model cards, counterfactual analysis, committee review.
Making opaque models operationally transparent.

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