Fairness in credit scoring: Assessment, implementation and profit implications

Volume: 297, Issue: 3, Pages: 1083 - 1094
Published: Mar 1, 2022
Abstract
The rise of algorithmic decision-making has spawned much research on fair machine learning (ML). Financial institutions use ML for building risk scorecards that support a range of credit-related decisions. Yet, the literature on fair ML in credit scoring is scarce. The paper makes three contributions. First, we revisit statistical fairness criteria and examine their adequacy for credit scoring. Second, we catalog algorithmic options for...
Paper Details
Title
Fairness in credit scoring: Assessment, implementation and profit implications
Published Date
Mar 1, 2022
Volume
297
Issue
3
Pages
1083 - 1094
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