Ethical considerations drive organizations to identify and mitigate biases in their retention forecasting models. By carefully analyzing data for skewed patterns that may disadvantage underrepresented groups, companies strive to create equitable predictions that support diverse talent retention without reinforcing existing disparities.

Ethical considerations drive organizations to identify and mitigate biases in their retention forecasting models. By carefully analyzing data for skewed patterns that may disadvantage underrepresented groups, companies strive to create equitable predictions that support diverse talent retention without reinforcing existing disparities.

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