mlsanityData to 7 Oct 2026

Temporal Fairness in Decision Making Problems

arXiv 2408.13208 ↗First posted 23 Aug 2024cs.AIcited by 1

Not on the map. Why?

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

  1. 2020Ethical Machine Learning in Health Carecited by 112
  2. 2021Towards Long-term Fairness in Recommendationcited by 77
  3. 2019Learning Fairness in Multi-Agent Systemscited by 44
  4. 2022Achieving Long-Term Fairness in Sequential Decision Makingcited by 18
  5. 2021Cooperative Multi-Agent Fairness and Equivariant Policiescited by 8
  6. 2023Fairness and Sequential Decision Making: Limits, Lessons, and Opportunitiescited by 5
  7. 2022Fairness in Multi-Agent Planningcited by 1

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.