De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
对偏差决策模型进行去偏:基于住房抵押贷款申请数据的方法比较
Prediction models can improve efficiency by automating decisions such as the approval of loan applications. However, they may inherit bias against protected groups from the data they are trained on. This paper adds counterfactual (simulated) ethnic bias to real data on mortgage application decisions, and shows that this bias is replicated by a machine learning model (XGBoost) even when ethnicity is not used as a predictive variable. Next, several other de-biasing methods are…