ml-propublica-recidivism-bias

IN premise — entries/2026/06/21/wiki-Machine_learning-chunk-6.md

Created 2026-06-21T09:55:51+00:00

ProPublica found that an ML recidivism algorithm falsely flagged Black defendants as high risk at twice the rate of white defendants

Dependents

These beliefs depend on this one:

• IN algorithmic-bias-systemic-not-incidental — Documented cases of algorithmic discrimination in ML span multiple decades and domains — from St. George's Medical School denying candidates based on gender or non-European names in 1988 to ProPublica's 2016 finding of racial disparities in recidivism scoring — suggesting the problem is recurring rather than isolated.