After reviewing federal regulators’ traditional theory of redlining, we discuss the types of underwriting practices that are likely targeted by Director Chopra’s recent comments expressing concern about “algorithmic redlining,” examine how the use of machine learning (ML) underwriting models incorporating alternative data can be more inclusive than traditional logistic regression models and result in more