The Role Of Artificial Intelligence In HRM: Opportunities, Challenges, And Ethical Considerations

Abstract

In recent years, the integration of Artificial Intelligence (AI) into Human Resource Management (HRM) practices has transformed the landscape of talent acquisition, employee engagement, and performance evaluation. AI's predictive analytics and machine learning algorithms allow HRM to improve recruiting, applicant sourcing, and employee training. Automatic resume screening solutions speed up the selection process, while AI-driven chatbots improve the candidate experience by communicating seamlessly. Personalised learning pathways using AI-powered platforms help employees gain relevant skills and develop their careers. Despite the potential benefits, integrating AI into HRM presents different challenges. Furthermore, relying on AI for decision-making could overlook the intricacies of human behaviour and emotions, thereby undermining trust and morale in the workplace. AI for HRM requires ethical considerations. To reduce bias and ensure accountability, algorithmic decision-making must be transparent and accountable. HR professionals must monitor AI systems for discrimination and adjust them to uphold equity and diversity. Employee data privacy must be protected by strong data protection processes and GDPR compliance.

Overall, AI in HRM can improve talent management and organisational success. To responsibly use its potential, obstacles and ethical issues must be addressed. HR professionals may use AI to improve decision-making, diversity, and sustainability by promoting ethical AI use. So, the main aim of this paper is to study the role of Artificial Intelligence in HRM: opportunities, challenges, and ethical considerations in cutting-edge technologies.