Ethical Implications of AI in Recruitment -Navigating Bias and Fairness

This study explores the ethical challenges of AI-driven hiring, focusing on algorithmic bias, fairness, and transparency in recruitment.While AI hiring tools enhance efficiency, concerns persist about bias replication, lack of interpretability, and regulatory compliance.This paper reviews AI-driven hiring ethics through case studies and regulatory analysis, assessing the risks of automation in decision-making.The study highlights fairness-aware AI models, adversarial debiasing techniques, and hybrid AIhuman hiring frameworks as potential solutions.Findings suggest that AI can reduce bias when integrated with explainable AI (XAI) and continuous fairness audits.Future research should examine industry-specific AI hiring ethics and long-term workforce diversity outcomes in AI-driven recruitment.