Who Bears Hidden Liability When Using AI for Resume Screening? A Fairness Audit Guide
The article recounts a real‑world AI resume‑screening failure, explains how unchecked historical bias propagates, and presents a three‑step, audit‑able fairness protocol—including bias‑word scanning, manual calibration, and abnormal‑deviation routing—to reduce compliance risk by about 70% while preserving screening speed.
