论文标题
拒绝求职者想要什么类型的解释？对可解释的AI的影响
What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI
论文作者
论文摘要
被拒绝的求职者很少收到雇主的解释。可解释的AI（XAI）的技术可以大规模提供解释。尽管XAI研究人员已经开发了许多不同类型的解释，但我们对申请人想要的解释类型一无所知。我们使用最近的求职者调查来填补这一空白。我们的调查产生了三个主要见解。首先，当前通用反馈的当前规范使申请人感到沮丧。其次，申请人认为雇主有义务提供解释。第三，求职者想知道为什么他们不成功以及如何改进。
Rejected job applicants seldom receive explanations from employers. Techniques from Explainable AI (XAI) could provide explanations at scale. Although XAI researchers have developed many different types of explanations, we know little about the type of explanations job applicants want. We use a survey of recent job applicants to fill this gap. Our survey generates three main insights. First, the current norm of, at most, generic feedback frustrates applicants. Second, applicants feel the employer has an obligation to provide an explanation. Third, job applicants want to know why they were unsuccessful and how to improve.
