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Publicação
The Game of Recourse
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Orientador(es)
Resumo(s)
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.
Descrição
Bell, A., Fonseca, J., & Stoyanovich, J. (2024). The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness. In P. Barcelo, N. Sanchez-Pi, A. Meliou, & S. Sudarshan (Eds.), SIGMOD-Companion ’24: Companion of the 2024 International Conference on Management of Data (pp. 464-467). ACM - Association for Computing Machinery. https://doi.org/10.1145/3626246.3654742 --- This work was supported in part by NSF awards 1916505, 1922658, 2312930, 2326193, and DGE-2234660.
Palavras-chave
algorithmic recourse data generation fairness ranking reliability simulation temporal data Software Information Systems
Contexto Educativo
Citação
Editora
ACM - Association for Computing Machinery