论文标题
公平的决策如何长期资格获得？
How Do Fair Decisions Fare in Long-term Qualification?
论文作者
论文摘要
尽管已经提出了许多公平性标准用于决策，但它们对人口福祉的长期影响尚不清楚。在这项工作中，我们研究了马尔可夫决策问题设定的部分人口资格和算法决策的动态。通过表征这种动力学的均衡，我们分析了静态公平限制对群体福祉平等和改善的长期影响。我们的结果表明，静态公平限制可以根据资格过渡的驱动因子以及敏感属性对特征分布的影响而促进平等或加剧差异。我们还考虑可能有效提高群体资格或促进团体资格平等的可能干预措施。我们对静态现实世界数据集进行模拟动态的理论结果和实验表明，我们的框架可用于促进社会科学研究。
Although many fairness criteria have been proposed for decision making, their long-term impact on the well-being of a population remains unclear. In this work, we study the dynamics of population qualification and algorithmic decisions under a partially observed Markov decision problem setting. By characterizing the equilibrium of such dynamics, we analyze the long-term impact of static fairness constraints on the equality and improvement of group well-being. Our results show that static fairness constraints can either promote equality or exacerbate disparity depending on the driving factor of qualification transitions and the effect of sensitive attributes on feature distributions. We also consider possible interventions that can effectively improve group qualification or promote equality of group qualification. Our theoretical results and experiments on static real-world datasets with simulated dynamics show that our framework can be used to facilitate social science studies.
