Explainable Machine Learning for Motor Insurance Pricing Using a SHAP Based Framework for Actuarial Model Governance Validation and Fairness
A SHAP-based governance framework for evaluating explainable machine learning in motor insurance pricing, with particular attention to ASOP 41 and ASOP 56, which demonstrates that SHAP can provide useful evidence for model understanding and actuarial communication, but cannot by itself establish compliance with ASOP 41...