Temporal Fairness in Decision Making Problems
Artificial Intelligence
2024-08-26 v1
Abstract
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.
Cite
@article{arxiv.2408.13208,
title = {Temporal Fairness in Decision Making Problems},
author = {Manuel R. Torres and Parisa Zehtabi and Michael Cashmore and Daniele Magazzeni and Manuela Veloso},
journal= {arXiv preprint arXiv:2408.13208},
year = {2024}
}
Comments
Paper accepted at ECAI 2024. This is an extended version that includes Supplementary Material