Bias Audit
An impartial evaluation of an AI hiring tool to assess whether it produces discriminatory outcomes across protected groups.
What Is Bias Audit?
A bias audit is a systematic evaluation of an automated employment decision tool to identify whether it produces disparate outcomes for different demographic groups. Under NYC Local Law 144, a bias audit must be conducted by an independent auditor, use historical or test data, calculate impact ratios for race/ethnicity and sex categories, and be completed within one year before the AEDT is used. The audit examines selection rates, scoring distributions, and statistical significance of any observed disparities. OnHirely provides automated bias audits that comply with LL144, California AB 331, and EU AI Act requirements.
Related Terms
Adverse Impact
A substantially different rate of selection in hiring that disadvantages members of a protected group.
Read moreFour-Fifths Rule (80% Rule)
A guideline stating that a selection rate for any group should be at least 80% of the highest group's rate.
Read moreAutomated Employment Decision Tool (AEDT)
Any computational process that uses machine learning, statistical modeling, or data analytics to substantially assist or replace human decision-making in employment.
Read moreImpact Ratio
The ratio of a group's selection rate to the highest selection rate among all groups.
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