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Fairness in data analysis means preventing bias from being reinforced, subverted, or diminished to maintain integrity and accuracy.
Fairness is the degree to which different constructions, perspectives, and positions are considered for merit and worth. To ensure fairness in data analysis, bias should not be reinforced, subverted, or diminished during the process.
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