What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI
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.
Focus: AI Ethics/Policy
Source: arXiv
Readability: Expert
Type: PDF Article
Open Source: No
External URL: https://arxiv.org/pdf/2205.09649.pdf
Keywords: N/A
Learn Tags: AI and Machine Learning Ethics Employment Fairness Trust
Summary: This paper makes the point that rejected job applicants want personalized explanations for their rejection. They also want to know how they could improve their employment prospects. It also emphasizes the fact that employers owe applicants an explanation for their rejection.