Racial Profiling, Insurance Style: Insurance Redlining and the Uneven Development of Metropolitan Areas

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019, background): “In the literature, there have been a lot of reports of algorithms resulting in unfair treatment, e.g., in racial proﬁling and redlining (Squires 2003), mortgage discrimination (LaCour-Little 1999), personnel selection (Stoll, Raphael, and Holzer 2004), and employment (Kuhn 1990).”
A multidisciplinary survey on discrimination analysis (2013, background): “The sociological implications of insurance redlining are discussed by Squires (2003).”
Discrimination-aware data mining (2008, background): “In social sense,however,discrimination refers speci.cally to an action based on prejudice resulting in unfair treatment of people on the basis of their membership to a category, without regard to individual merit.”
Data mining for discrimination discovery (2010, background): “The literature in those research .elds has given evidence of unfair treatment in racial pro.ling and redlining [Squires 2003], mortgage discrimination [LaCour-Little 1999], personnel selection discrimination [Holzer et al. 2004; Kaye and Aickin 1992], and wages discrimination [Kuhn 1987].”