2019

Equalizing Recourse across Groups

Gupta, Vivek, Nokhiz, Pegah, Roy, Chitradeep Dutta et al.

Understand

The rise in machine learning-assisted decision-making has led to concerns about the fairness of the decisions and techniques to mitigate problems of discrimination.

  • If a negative decision is made about an individual (denying a loan, rejecting an application for housing, and so on) justice dictates that we be able to ask how we might change circumstances to get a favorable decision the next time.
  • Moreover, the ability to change circumstances (a better education, improved credentials) should not be limited to only those with access to expensive resources.
  • In other words, \emph{recourse} for negative decisions should be considered a desirable value that can be equalized across (demographically defined) groups.

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