Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
基于隐私化敏感属性的无歧视保险定价
机构 * Department of Risk and Insurance, University of Wisconsin-Madison(风险与保险系,威斯康星大学麦迪逊分校) ; Department of Statistics and Operations Research, University of North Carolina-Chapel Hill(统计与运筹系,北卡罗来纳大学教堂山分校)
AI总结 针对保险公司无法直接获取敏感属性(如性别、种族)的公平定价问题,提出利用隐私化(加噪)敏感属性估计无歧视保费的方法,并建立理论保证与实证验证。