AI Recruiter

DEI & Objective Hiring

Unbiased, volume screening
  • CV Relevance
  • Stability
  • Performance
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DEI & Objective Hiring
  • Masked Hiring– Masking of Personal Identifiable Information (PII) during screening to reduce unconscious bias.
  • Model Bias Analysis-Disparate impact analysis using the 4/5 rule on statistical parity difference is used to detect bias in models across sensitive attributes/ groups. Propensity score matching is also used to compare the predicted outcome differences. 
  • Regular Model Review & Retraining- We review our models regularly (model decay, data & concept drift) and check our data on potential biases before using it to retrain our models. No sensitive attribute is used as part of model training/retraining.

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