This article reviews the recent literature on algorithmic fairness, with a particular emphasis
on credit scoring. We discuss human versus machine bias, bias measurement, group versus …

We examine trends in racial and ethnic discrimination in US housing and mortgage lending
markets through a quantitative review of studies. We code and analyze as a time series …

Structural racism, which is embedded in past and present operations of the US housing
market, is a fundamental cause of racial health inequities. We conducted an ecologic study …

US fair-lending law prohibits lenders from making credit determinations that disparately
affect minority borrowers if those determinations are based on characteristics unrelated to …

A pie chart satirizing Google's research and development expenditures imagines a largely
tripartite division: omniscience, omnipresence, and om-nipotence.'Uber offers its staff what it …

The mission of policing is “to protect and serve,” but recent events suggest that many
Americans, and especially Black Americans, do not feel protected from the police …

Online correspondence audit studies have emerged as the primary method to examine
racial discrimination. Although audits use distinctive names to signal race, few studies …

An audit study is a specific type of field experiment primarily used to test for discriminatory
behavior when survey and interview questions induce social desirability bas. In this chapter …

This article considers the possibilities and limits of human‐capital credentials in entering the
labor market for immigrants in Finland. It reports findings of a correspondence study on how …

Increasing access to diverse types of credit and spreading indebtedness across many social
groups were significant economic developments of the twentieth century and into the twenty …