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
- 1Export anonymized candidate data with outcomes from Applied
- 2Run OnHirely independent bias analysis as third-party verification
- 3Compare Applied internal bias metrics with OnHirely findings
- 4Document independent audit for regulatory compliance
- 5File third-party audit report as required by regulations
Data Export Instructions
- 1.Use Applied analytics to export hiring data
- 2.Include scoring data and candidate outcomes
- 3.Download demographic data separately for audit
- 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
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