NYC Local Law 144 — Bias Audit
Annual bias audit for AI tools used in employment decisions within New York City
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Recommendation Distribution
| Category | Count | Percentage |
|---|---|---|
| Total Evaluations | 0 | 100% |
| Advance (strong_yes + yes) | 0 | — |
| Borderline (maybe) | 0 | — |
| Reject (no + strong_no) | 0 | — |
Demographic data required for full LL-144 audit. Full NYC Local Law 144 demographic analysis requires candidate EEO category data (race, gender, etc.). This view shows recommendation distribution which is a prerequisite for the bias audit. Connect EEO data collection to generate a complete audit report.
About NYC Local Law 144
NYC Local Law 144 requires employers to conduct annual bias audits of automated employment decision tools (AEDTs) used for candidates or employees in New York City. Results must be published on the employer's website.
Neuroxa records every AI decision with full provenance in the audit log, including: model used, prompt version, input context, output scores, and human override status. This data is the foundation for LL-144 compliance.
The bias audit must be performed by an independent auditor. Neuroxa exports all required data in CSV format for submission to your auditor.