Temporal Fairness in Decision Making Problems
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Abstract (arXiv)
In this work we consider a new interpretation of fairness in decision making problems. Building upon existing fairness formulations, we focus on how to reason over fairness from a temporal perspective, taking into account the fairness of a history of past decisions. After introducing the concept of temporal fairness, we propose three approaches that incorporate temporal fairness in decision making problems formulated as optimization problems. We present a qualitative evaluation of our approach in four different domains and compare the solutions against a baseline approach that does not consider the temporal aspect of fairness.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 20 references that are in the map. First posted on arXiv 23 Aug 2024.
Builds on
7 of 20 references.
References · 7
- 2020Ethical Machine Learning in Health Carecited by 112
- 2021Towards Long-term Fairness in Recommendationcited by 77
- 2019Learning Fairness in Multi-Agent Systemscited by 44
- 2022Achieving Long-Term Fairness in Sequential Decision Makingcited by 18
- 2021Cooperative Multi-Agent Fairness and Equivariant Policiescited by 8
- 2023Fairness and Sequential Decision Making: Limits, Lessons, and Opportunitiescited by 5
- 2022Fairness in Multi-Agent Planningcited by 1
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Citing papers per year: 2024: 1.
1 paper.
- 2024Pluralistic Alignment Over Timecited by 3
- 2024Pluralistic Alignment Over Time16 Nov 2024