HowDoFairDecisionsFare inLong-termQualification?

Neural Information Processing Systems 

We examine whether these static fairness constraints mitigate or worsen the qualification disparity in the long-run. Our work can be applied to a variety of applications such as recruitment and bank lending. In these applications, aninstitute observesindividuals' features (e.g., credit scores), and makes myopic decisions(e.g., issue loans) by assessing such features against some variables of interest (e.g., ability torepay) which are unknown and unobservable tothe institute when making decisions.

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