Mid-Market ATS

How to Audit AI Bias in Lever

Lever combines ATS and CRM capabilities with AI-powered candidate matching. Organizations using Lever must audit their automated screening and matching algorithms to ensure compliance.

Bias Risks in Lever

  • AI-powered candidate matching may favor profiles similar to existing employees
  • Automated nurture campaigns may inadvertently target or exclude demographic groups
  • Resume parsing algorithms that disadvantage non-linear career paths
  • Candidate scoring models that correlate with protected characteristics

Step-by-Step Audit Guide

  1. 1Export opportunity data from Lever including stage history
  2. 2Map EEO survey responses to candidate outcomes
  3. 3Analyze pass-through rates by demographic group at each stage
  4. 4Test AI matching scores for disparate impact
  5. 5Generate compliance documentation with statistical evidence
  6. 6Implement recommended adjustments to screening criteria

Data Export Instructions

  1. 1.Navigate to Lever > Analytics > Data Export
  2. 2.Select full pipeline data with EEO demographics
  3. 3.Export as CSV format
  4. 4.Upload to OnHirely for bias analysis

Compliance Notes

  • Lever's AI features classify as AEDT under NYC Local Law 144
  • Organizations must conduct independent audits even with Lever's built-in analytics
  • EEO data collection in Lever must be active for at least one full hiring cycle before audit

Related Regulations

Nyc Local Law 144California Ab 331

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Audit Your Lever Hiring Pipeline

Upload your Lever candidate data and get a comprehensive bias audit report in minutes.

Start Free Audit