Algorithmic bias in HR recruitment systems: A qualitative analysis of managerial risk and sociological implications.

This shift is highly significant: by consolidating model reliance around a smaller set of well-understood, job-relevant predictors, ML-BAMS minimizes the likelihood that obscure or weakly correlated variables particularly those acting as indirect demographic proxies can exert disproportionate, unmonitored influence over hiring outcomes.

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