The Racist Algorithm

By Anupam Chander. 2016

136 citations recorded by the source corpus.

How researchers see this paper

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

1. Brandon M Stewart
2. Barbara E. Engelhardt
3. Alina Köchling
4. Allison June-Barlow Chaney
5. Marius Claus Wehner
6. Margaret E. Roberts
7. Ninareh Mehrabi
8. Masoud Mansoury

Citations in the corpus

• How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (2017, background): “Previous work has investigated how many algorithms rely on data that is imbued with societal biases and explored how to address this issue [3, 12, 50, 56].”
• Algorithms, Platforms, and Ethnic Bias: An Integrative Essay Forthcoming in Phylon: The Clark Atlanta University Review of Race and Culture (2018, unknown): “It has been argued that organizations have an interest in preventing algorithmic bias, and thus it would not be induced deliberately (Chander, 2016).”
• Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020, background): “Consequently, algorithms are vulnerable to produce or replicate biased decisions if their input (or training) data are biased (Chander 2016).”