AI-Native ATS

How to Audit AI Bias in Applied

Applied is a bias-reduction hiring platform that uses anonymized applications and structured interviews. While designed to reduce bias, it still benefits from independent third-party auditing.

Bias Risks in Applied

  • Anonymization may not fully eliminate all forms of bias
  • Structured scoring rubrics may still contain implicit biases
  • Sift scoring algorithm outcomes should be independently verified
  • Platform bias-reduction claims require independent validation

Step-by-Step Audit Guide

  1. 1Export anonymized candidate data with outcomes from Applied
  2. 2Run OnHirely independent bias analysis as third-party verification
  3. 3Compare Applied internal bias metrics with OnHirely findings
  4. 4Document independent audit for regulatory compliance
  5. 5File third-party audit report as required by regulations

Data Export Instructions

  1. 1.Use Applied analytics to export hiring data
  2. 2.Include scoring data and candidate outcomes
  3. 3.Download demographic data separately for audit
  4. 4.Combine datasets for OnHirely analysis

Compliance Notes

  • Independent third-party audits required by NYC LL144 even for bias-reduction platforms
  • Applied internal metrics do not satisfy regulatory audit requirements

Related Regulations

Related Pages

Audit Your Applied Hiring Pipeline

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

Start Free Audit