How differential robustness creates disparate impact: A european case study

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Abstract

We formalize a notion of differential robustness. An algorithm is differentially robust to an event if the event has disparate impact on the performance of an algorithm for different groups in the population. We illustrate it with a case study of the real world deployment of a predictive algorithm in a European public employment service.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3442
Publication statusPublished - 2023
Event2nd European Workshop on Algorithmic Fairness, EWAF 2023 - Winterthur, Switzerland
Duration: 7 Jun 20239 Jun 2023

Keywords

  • algorithmic fairness
  • causal mechanism
  • concept drift
  • differential robustness
  • disparate impact
  • distribution shift

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