Exploring the Fairness Implications of A.I Replacing Human Decision-Makers in HR Management: A Case Study on Resume Screening

Abstract

Artificial intelligence (AI) is displacing human resource (HR) staff in decision-making processes in a growing number of enterprises. It's unclear, though, how those impacted by these AI- driven judgments perceive fairness. People's perceptions of fairness have a big impact on an organization's sustainability, thus this study uses a resume screening scenario to investigate how candidates' opinions of fairness will change if AI takes the place of humans. An online scenario experiment was carried out to look into this, and SPSS was used to evaluate the results. In two different online situations, 189 and 214 users participated in the study, which evaluated procedural and distributive fairness as well as the responsibilities of decision-makers (AI vs. humans). The study also took into account the moderating influences of result favorability and AI's perceived level of knowledge. The results show that candidates believe human-based resume screening to be fairer than AI-based resume screening. Furthermore, these perceptions are considerably moderated by the outcome favorability and the level of AI skill. This study emphasizes how AI affects decision-making equity and proposes that the suggested methodology can assist companies in enhancing AI's efficacy in resume screening. Future studies may examine the possibility of human-AI cooperation in HR decision- making procedures.