Dispatch
'The Explainability Trade-Off Was Never Real': A Case Against Opaque Financial-Crime ML
In a Finextra op-ed, ControlOne founder and CEO Swagatam Sen argues the long-assumed trade-off between accuracy and explainability in financial-crime detection models is a false choice, contending teams can have interpretable models without sacrificing performance. It's a practitioner opinion rather than new benchmark data, but it captures a live debate as regulators increasingly demand auditable AI decisions. Weigh as perspective, not evidence.
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