amazon-2018-recruiting-bias-example

IN premise — entries/2026/06/21/wiki-Neural_network_28machine_learning29-chunk-6.md

Created 2026-06-21T09:55:52+00:00

Amazon's 2018 recruiting tool penalized women due to male-skewed training data, demonstrating that biased training data produces biased outputs.

Dependents

These beliefs depend on this one:

• IN algorithmic-bias-spans-four-decades-and-three-domains — Documented cases of algorithmic bias in ML span multiple decades and at least three independent domains — medical school admissions (St. George's 1988), criminal justice (ProPublica recidivism scoring 2016), and corporate hiring (Amazon 2018) — suggesting that bias is a recurring structural problem in ML systems rather than an artifact of any particular application domain or deployment era.