How Do We Move from a Machine-Learning Model to Readable Rules?
Organizations with existing models can approximate them with readable segment rules, run both in parallel, and then move production to the rules. See the framework overview.
Compliance
Can a Machine Learning Pricing Model Be Explainable Enough for Regulators?
Post-hoc explanation tools estimate why a model produced a price, but they are not the mechanism that set it and can misstate what the model does. A rule-based production decision gives an exact reason. Machine learning can still be used to discover segments.