EEOC algorithm audit

EEOC Algorithm Audit Preparation

Teams searching for an EEOC algorithm audit usually need evidence that employment selection tools are being monitored for disparate impact under federal civil rights expectations. The practical task is to show what tools are used, what data was reviewed, what ratios were calculated, and what the employer did when risk appeared.

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Where this fits

The company uses automated resume scoring, ranking, assessment, or interview analytics in US hiring.

A vendor review asks whether the employer tests AI employment tools for protected-group impact.

Leadership needs a concise summary of legal, HR, and technical follow-up before the next hiring cycle.

Operating steps

  1. Define the employment decision each algorithm influences: screen, rank, invite, assess, interview, or advance.
  2. Collect applicant-flow counts and decision outcomes for protected groups with documented data limitations.
  3. Run impact-ratio and 4/5 rule checks, then compare results across role family and stage.
  4. Document who reviewed flagged results, whether thresholds changed, and where human review was added.
  5. Keep the audit trail versioned with vendor names, model dates, exports, and report approvals.

Common risks

  • Using a generic vendor audit that does not reflect the employer population or hiring workflow.
  • Leaving out disability accommodation, referral, or reassessment procedures from the review.
  • Failing to preserve enough evidence to explain how a flagged result was handled.

How HireBias Audit connects

HireBias Audit produces an EEOC-oriented evidence pack with tool inventory, adverse impact tables, risk scoring, and remediation steps that can be reviewed with counsel.

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