<ul><li>This paper focuses on the application of fair machine learning (ML) in the context of credit scoring in finance.</li><li>The paper introduces logical processors (LP), a new technique for addressing the application of fairness methods on multiple sensitive variables.</li><li>The paper also explores multistage processors (MP) to determine if combining fairness methods can enhance fairness and accuracy in credit scoring.</li><li>The results indicate that logical processors are suitable for handling multiple sensitive variables, and multistage processors can improve existing methods.</li></ul>

The more the merrier: logical and multistage processors in credit scoring

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