About this document
Racial Bias in Criminal Justice Algorithms by songcw113 is a document available to read on EtoBox.
The document discusses the use of algorithmic risk prediction tools, specifically COMPAS, in the U.S. criminal justice system to assess the likelihood of recidivism. It highlights concerns about racial bias in these algorithms, showing that they may favor white defendants over Black defendants, and presents research indicating that human predictions can be as accurate as those made by COMPAS. The study calls into question the perceived objectivity of algorithmic tools and emphasizes the need for fairness in
- Author
- songcw113
- Language
- EN