On Formalizing Fairness in Prediction with Machine Learning
公平的定義和衡量標準 文獻中提出了幾種公平的定義，但還沒有形成明確的共識。然而，這些定義可以用作在ML測試中檢測違反公平性的預言。 爲了幫助說明ML公平性的形式化，我們使用X表示一組個體，Y表示在對X中的每個個體進行決策時的真實標籤集。設h是訓練好的機器學習預測模型。設A爲敏感屬性集，Z爲剩餘屬性。 1)Fairness Through Unawareness 無意識公平。無意識公平(FT
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相關文章
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