S0081RS4-T16-S0081-Z · Full risk code

Gender Bias in Recruitment Screening

招募篩選性別偏誤

Verification & Validation
Risk Description

When an organization introduces automated screening to improve efficiency; due to unmitigated control gaps, months later, the pass rate for a particular gender is found to have dropped noticeably, triggering external stakeholder impacts and causing review shows the model treats several neutral-seeming features strongly correlated with gender as negative signals, none of which were ever listed as evaluation criteria.

Framework Mappings

EU AI ActArt.10
NIST AI 600-1Harmful Bias and Homogenization
NIST AI RMFMEASURE 2.11
ISO/IEC TR 24027
ISO/IEC 5338驗證與確效
MIT AI Risk RepositoryDomain 1

Risk Treatment & Implementation Guidance

Audit recruiting systems for fairness, examining actual weights of gender-correlated features; Desensitize features, removing or neutralizing variables strongly correlated with protected attributes; Monitor pass rates by gender with alert thresholds