Counterfactual, Per-Decision Bias Auditing for Automated Hiring: Localizing and Explaining Disparate Impact in Applicant Tracking Systems
该论文提出了一种名为 AI Bias Firewall (AIBF) 的方法,用于对自动化的应聘者追踪系统(Applicant Tracking Systems)进行逐决策(per-decision)的偏差审计。研究背景是:招聘自动化系统越