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AI transparency

AI Bias & Fairness

How we identify, measure, and reduce bias in scoring.

Deborah Adeleye-Olalekan 6 min read

Our approach

Bias is never eliminated, but it can be measured and reduced. We do this in three ways: by limiting the inputs the model can use, by auditing score distributions across roles, and by giving recruiters explanations they can challenge.

Practical safeguards

  • Demographic attributes are excluded from inputs.
  • Score distributions are reviewed for unexpected gaps.
  • Every score has a breakdown a human can interrogate.
  • Recruiters can flag a score they believe is unfair, which feeds into our model review process.

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