Cogitas, Ergo Sum. The Role of Data Protection Law and Non-discrimination Law in Group Profiling in the Private Sector

By Wim Schreurs, Mireille Hildebrandt, E. Kindt, M. Vanfleteren. 2008

42 citations recorded by the source corpus.

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On the Fairness of Disentangled Representations (2019, background): “For example, the inherent assumptions of the algorithm might cause discrimination towards protected groups, the data collection process might be biased or the causal graph itself might allow for unfairness because society is unfair [5, 11, 68, 73, 75, 83].”
Blind Justice: Fairness with Encrypted Sensitive Attributes (2018, background): “…make or support important decisions affecting individuals— such as car insurance pricing, r´esum´e ﬁltering or recidivism prediction—might illegally or unfairly discriminate against certain subgroups of the population (Schreurs et al., 2008; Calders & ˇZliobait˙e, 2012; Barocas & Selbst, 2016).”
A multidisciplinary survey on discrimination analysis (2013, background): “McGarrity et al. (1999) criticize the data collection methodology and the lack of accounting for heteroscedasticity in the regression model.”