The Game of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness

Andrew Bell, Joao Fonseca, Julia Stoyanovich

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Abstract

Algorithmic recourse, or providing recommendations to individuals who receive an unfavorable outcome from an algorithmic system on how they can take action and change that outcome, is an important tool for giving individuals agency against algorithmic decision systems. Unfortunately, research on algorithmic recourse faces a fundamental challenge: there are no publicly available datasets on algorithmic recourse. In this work, we begin to explore a solution to this challenge by creating an agent-based simulation called The Game of Recourse (an homage to Conway's Game of Life) to synthesize realistic algorithmic recourse data. We designed The Game of Recourse with a focus on reliability and fairness, two areas of critical importance in socio-technical systems. You can access the application at https://game-of-recourse.streamlit.app.
Original languageEnglish
Title of host publicationSIGMOD-Companion ’24
Subtitle of host publicationCompanion of the 2024 International Conference on Management of Data
EditorsPablo Barcelo, Nayat Sanchez-Pi, Alexandra Meliou, S. Sudarshan
PublisherACM - Association for Computing Machinery
Pages464-467
Number of pages4
ISBN (Electronic)979-8-4007-0422-2
DOIs
Publication statusPublished - 9 Jun 2024
EventACM SIGMOD/PODS International Conference on Management Data 2024 - Intercontinental Santiago Hotel, Santiago, Chile
Duration: 9 Jun 202414 Jun 2024
https://2024.sigmod.org/index.shtml

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management Data
PublisherAssociation for Computing Machinery
ISSN (Print)0730-8078

Conference

ConferenceACM SIGMOD/PODS International Conference on Management Data 2024
Abbreviated titleSIGMOD/PODS 2024
Country/TerritoryChile
CitySantiago
Period9/06/2414/06/24
Internet address

Keywords

  • algorithmic recourse
  • data generation
  • fairness
  • ranking
  • reliability
  • simulation
  • temporal data

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