The Fairness Illusion? A Cross-Dataset Audit of Accuracy and Demographic Bias in Credit Scoring Based on Machine Learning
Persistent demographic parity disparity among the more complex models is consistent with feature-level bias that no model architecture can resolve, and has direct implications for the less-discriminatory-alternatives framework under US fair lending law and for the high-risk classification of credit scoring AI under the...