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MACHINE-LEARNING-LITERACY5 MIN READ

Walk a Bias Audit Before Launch

Apply bias-audit thinking to a pre-launch screening or ranking model.

Launch gate The model is close to production, but one pathway into the applicant pool appears underrepresented and the label reflects historical recruiter progression. If the pipeline is skewed before launch, the model can scale that skew quietly. Represent -> label -> evaluate Audit the pipeline, not just the score Bias work starts with data and labels, then moves to subgroup evaluation and harm review. Check overall accuracy Fast, incomplete. The launch call is based on evidence, not only average performance. Fairness signals require a wider evidence standard than a single top-line metric. Representation Step 1 What is the strongest…

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