Recrutement
Lynx HR — Bias Audit
Parallel anonymized scoring of applicants — flags drift between identity-bearing and identity-redacted scoring so recruiters can review for bias.
lynx_hr_recruitment_bias_audit
· v19.0.1.0.0
· Premium
What this solves
Lynx HR - Bias Audit
Computes a parallel anonymized fit score for every applicant and flags drift between the identity-bearing and identity-redacted scores - so recruiters review for unconscious bias and align with NYC Local Law 144 and EU AI Act Article 26 obligations.
Automated employment decision tools are now regulated in multiple jurisdictions: NYC Local Law 144 requires bias auditing of automated hiring tools, and EU AI Act Article 26 designates them as high-risk. This module computes a second fit score with name, photo references, university bucketization, and geographic markers stripped, then flags applicants whose score moves more than 10% between the two passes for human review.
Key Features
Parallel anonymized scoring - identity-bearing fields removed for the second score.
Drift detection - 10% threshold flag with explainable diff so the reviewer sees exactly what changed.
Per-applicant flag - "Score changes by 0.18 when identity removed - worth reviewing."
HR-manager-only visibility - drift information is restricted; recruiters see only the standard score.
Opt-in - not auto-installed; customers in regulated markets enable it manually.
Regulatory alignment - structured for NYC Local Law 144 and EU AI Act Article 26 audit evidence.
Integrates With
hr_recruitment - applicant model being scored.
lynx_hr_recruitment_score - the underlying scoring engine.
Depends on
Try Lynx HR — Bias Audit on your team.
Free trial, no credit card. Talk to sales when you're ready.