S. Muthukrishnan

Designing Policy-Compliant Counterfactual Explanations for Fair and Transparent Credit Risk Assessment

The growing adoption of more sophisticated machine learning models in automated decisioning of credit risks has generated very serious issues of explainability, fairness, and consumer trust, especially when loan applications are denied. Alternative methods of explanation that are available like the use of the static re...