Explainable machine learning models for AI enabled credit scoring and financial inclusion in emerging markets
Findings support explainability- and governance-centered model selection for inclusive credit scoring, while underscoring the need for multi-metric fairness auditing, external validation, and continued monitoring in operational deployment.