Digital Commons Network^™

Race-Aware Algorithms: Fairness, Nondiscrimination And Affirmative Action, Pauline T. Kim

Scholarship@WashULaw

The growing use of predictive algorithms is increasing concerns that they may discriminate, but mitigating or removing bias requires designers to be aware of protected characteristics and take them into account. If they do so, however, will those efforts be considered a form of discrimination? Put concretely, if model-builders take race into account to prevent racial bias against Black people, have they then engaged in discrimination against white people? Some scholars assume so and seek to justify those practices under existing affirmative action doctrine. By invoking the Court’s affirmative action jurisprudence, however, they implicitly assume that these practices entail discrimination …

Healing Policies For Black Boys And Young Men In St. Louis: Priorities In 2019, Sean Joe, Robert Motley, Alexandra Ivory, Alyssa Finner, Janet Frederick

Center for Social Development Research

What policy reforms are needed to remove the structural barriers that make it difficult for Black boys and young men to thrive in St. Louis?

Presenting findings from research with social service providers, this Brief Report from the Race and Opportunity Lab’s HomeGrown STL project seeks to inform policy decisions, advocacy efforts, and collective impact strategies in order to improve outcomes for Black boys and young men in the St. Louis region.

The University, The Community, And Race, Larry Davis

Center for Social Development Research

The University, the Community, and Race