Bias in AI-Driven Candidate Selection Processes

Abstract

This paper examines the nature, causes, and implications of bias in artificial intelligence (AI)-driven candidate selection processes, with a focus on the need for ethical development and application of AI systems. The primary objective is to identify and explain the key causes of bias in AI-driven candidate selection through a review and analysis of existing literature, contemporary studies, and case examples. The contribution of this work lies in proposing directions for future research aimed at mitigating bias and promoting fairness in the candidate selection process.