Equality of Opportunity

nounverified·updated May 18, 2026

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The probability of a person in positive class being assigned to a positive outcome should be equal for both protected and unprotected group members. In other words, the protected and unprotected groups should have equal true positive rates.

Framework senses

2 senses across 2 frameworks

Equality of Opportunity in Supervised Learning1 senseview framework →

§1: (Equal opportunity). We say that a binary predictor bY satisfies equal opportunity with respect to A and Y if Pr{bY = 1 | A = 0; Y = 1} = Pr{bY = 1 | A = 1; Y = 1}.

A Survey on Bias and Fairness in Machine Learning1 senseview framework →

§1: The probability of a person in positive class being assigned to a positive outcome should be equal for both protected and unprotected group members. In other words, the protected and unprotected groups should have equal true positive rates.