Data Accuracy and Integrity

Legal standards require that data shared must be accurate and reliable to avoid misleading conclusions that could negatively impact individuals or groups. From an ethical perspective, misrepresenting diversity data violates principles of honesty and fairness, potentially harming efforts to address inequities.

Legal standards require that data shared must be accurate and reliable to avoid misleading conclusions that could negatively impact individuals or groups. From an ethical perspective, misrepresenting diversity data violates principles of honesty and fairness, potentially harming efforts to address inequities.

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Sharing Diversity Metrics with Leadership

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