Fair equality of chances for prediction-based decisions

被引：1
|
作者：
Loi, Michele [1 ]
Herlitz, Anders [2 ,3 ]
Heidari, Hoda [4 ]
机构：
[1] Politecn Milan, Milan, MI, Italy
[2] Inst Futures Studies, Stockholm, Sweden
[3] Lund Univ, Dept Philosophy, Lund, Sweden
[4] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA USA
来源：
ECONOMICS & PHILOSOPHY | 2024年 / 40卷 / 03期
基金：
瑞士国家科学基金会; 欧盟地平线“2020”;
关键词：
Fairness; bias; statistical decision-making; statistical discrimination;
D O I：
10.1017/S0266267123000342
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This article presents a fairness principle for evaluating decision-making based on predictions: a decision rule is unfair when the individuals directly impacted by the decisions who are equal with respect to the features that justify inequalities in outcomes do not have the same statistical prospects of being benefited or harmed by them, irrespective of their socially salient morally arbitrary traits. The principle can be used to evaluate prediction-based decision-making from the point of view of a wide range of antecedently specified substantive views about justice in outcome distributions.
引用
收藏
页码：557 / 580
页数：24
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