Before revision:  First, we provide a systematic overview of algorithmic options for incorporating fairness goals in the ML model development pipeline.
After revision:  First, we revisit statistical fairness criteria and examine their adequacy for credit scoring. Second, we catalog algorithmic options for incorporating fairness goals in the ML model development pipeline.