Use Case

AI Resume Screening Bias Audit

Audit your AI resume screening tool for bias before it filters out qualified candidates from underrepresented groups.

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The Challenges

Organizations face significant risks when using AI tools for this purpose without proper bias auditing.

AI resume screeners trained on historical data may perpetuate past discrimination

Proxy variables like university name, zip code, and name can correlate with protected characteristics

High-volume screening amplifies even small biases across thousands of candidates

Hard to detect bias without systematic statistical analysis

Regulatory requirements (LL144, AB 331, EU AI Act) mandate auditing

The OnHirely Solution

OnHirely analyzes your resume screening outcomes across all protected categories. Upload your screening data, and we calculate impact ratios, run statistical significance tests, and identify which candidate attributes may be serving as proxy variables for protected characteristics.

Key Benefits

Identify adverse impact before candidates or regulators do

Pinpoint specific proxy variables driving bias in your screening model

Generate NYC LL144-compliant audit reports in minutes

Improve diversity in your candidate pipeline

Reduce litigation risk from discriminatory screening patterns

Related Use Cases

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