论文标题
通过算法追索的努力平等
Equality of Effort via Algorithmic Recourse
论文作者
论文摘要
本文提出了一种通过平等努力来衡量公平性的方法，通过通过最少的干预措施应用算法追索权。努力平等是可以在个人和小组级别量化的属性。它回答了反事实问题：受保护个人的最低成本是多少，或者受保护的个体的平均成本最低的成本扭转了自动化系统计算的结果？算法追索性提高了平等努力概念的灵活性和适用性：它通过核对多个治疗变量，引入可行性和合理性限制并整合干预措施的实际相对成本来克服其先前的限制。我们扩展了现有的努力平等定义，并提出了通过算法追索评估其评估的算法。我们在合成数据和德国信用数据集上验证了我们的方法。
This paper proposes a method for measuring fairness through equality of effort by applying algorithmic recourse through minimal interventions. Equality of effort is a property that can be quantified at both the individual and the group level. It answers the counterfactual question: what is the minimal cost for a protected individual or the average minimal cost for a protected group of individuals to reverse the outcome computed by an automated system? Algorithmic recourse increases the flexibility and applicability of the notion of equal effort: it overcomes its previous limitations by reconciling multiple treatment variables, introducing feasibility and plausibility constraints, and integrating the actual relative costs of interventions. We extend the existing definition of equality of effort and present an algorithm for its assessment via algorithmic recourse. We validate our approach both on synthetic data and on the German credit dataset.
