Coping with Ethical Challenges in AI Recruiting

Abstract

This paper examines the ethical challenges HR practitioners face when integrating AI recruiting tools into their selection processes. The study identifies key areas of ethical concern, including privacy, AI performance, and transparency and accountability. To address these concerns, the paper introduces the Coping Strategies for AI Recruiting Maturity Model (CS for AIR-MM), which offers a comprehensive framework for managing ethical AI recruiting practices. By utilizing this model, organizations can assess their AI-driven recruitment practices, identify areas in need for improvement, and implement measures to uphold ethical standards. Accordingly, the CS for AIR-MM acts as a valuable tool for HR practitioners to facilitate ethical AI recruiting practices.