How to Audit AI Bias in Bullhorn
Bullhorn is the leading ATS for staffing and recruiting agencies. Its AI-powered candidate matching and automated workflows present unique bias risks in high-volume hiring environments.
Bias Risks in Bullhorn
- High-volume matching algorithms amplify small biases across thousands of placements
- Client-requested candidate preferences may encode discriminatory criteria
- Automated candidate ranking in talent pools may reflect historical placement patterns
- Resume parsing may disadvantage candidates with non-Western name formats
Step-by-Step Audit Guide
- 1Export placement and submission data from Bullhorn Analytics
- 2Separate analysis by client to identify client-specific bias patterns
- 3Run OnHirely audit across all demographic categories
- 4Generate per-client and aggregate compliance reports
- 5Share findings with staffing compliance team
Data Export Instructions
- 1.Access Bullhorn Reporting module
- 2.Create custom report with placement outcomes and demographics
- 3.Export candidate data as CSV
- 4.Include submission-to-placement conversion rates
Compliance Notes
- Staffing agencies face unique compliance challenges — both agency and client may be liable
- NYC LL144 applies to employment agencies using AEDTs
Related Regulations
Related Pages
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