The Daily B.I. Insight

AI Bias at Scale: How to Detect It, Prevent It, and Fix It


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A tech company’s résumé‑screening AI, trained on a decade of biased hiring decisions, began replicating discrimination by downgrading candidates for signals such as “women’s” or “alumni of women’s colleges.” This episode explores why algorithmic bias happens, how it hides behind accuracy, the fairness paradox of competing definitions, and practical steps organizations must take: measurement, governance, diverse teams, and ongoing monitoring.

Nakel Nikiema leads a panel of experts in engineering, governance, ethics, and architecture to explain detection and mitigation techniques, legal and ethical responsibilities, and what real commitment to fairness looks like in practice, because bias in models isn’t a bug, it’s what they learn from history.

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The Daily B.I. InsightBy Nakel Nikiema