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.
@article{arxiv.2205.09649,
title = {What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI},
author = {Matthew Olckers and Alicia Vidler and Toby Walsh},
journal= {arXiv preprint arXiv:2205.09649},
year = {2022}
}