Our study highlights the need for a nuanced understanding of fairness metrics and their implications in real-world applications. Good incorporation of medical knowledge is crucial when utilizing sensitive information and evaluating fairness accurately, particularly in cases where models may show a large performance disparity.
When traditional methods often aim for equality, positive-sum fairness focuses on equity, pushing for each group to achieve its highest possible performance level. This can lead to better overall outcomes, as it encourages to address the specific needs and challenges of each group without diminishing the quality of care for others.
#fairness-metrics #positive-sum-fairness #model-evaluation #equity-in-healthcare #sensitive-attributes
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