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 language | English |
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Title of host publication | SIGMOD-Companion ’24 |
Subtitle of host publication | Companion of the 2024 International Conference on Management of Data |
Editors | Pablo Barcelo, Nayat Sanchez-Pi, Alexandra Meliou, S. Sudarshan |
Publisher | ACM - Association for Computing Machinery |
Pages | 464-467 |
Number of pages | 4 |
ISBN (Electronic) | 979-8-4007-0422-2 |
DOIs | |
Publication status | Published - 9 Jun 2024 |
Event | ACM SIGMOD/PODS International Conference on Management Data 2024 - Intercontinental Santiago Hotel, Santiago, Chile Duration: 9 Jun 2024 → 14 Jun 2024 https://2024.sigmod.org/index.shtml |
Publication series
Name | Proceedings of the ACM SIGMOD International Conference on Management Data |
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Publisher | Association for Computing Machinery |
ISSN (Print) | 0730-8078 |
Conference
Conference | ACM SIGMOD/PODS International Conference on Management Data 2024 |
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Abbreviated title | SIGMOD/PODS 2024 |
Country/Territory | Chile |
City | Santiago |
Period | 9/06/24 → 14/06/24 |
Internet address |
Keywords
- algorithmic recourse
- data generation
- fairness
- ranking
- reliability
- simulation
- temporal data