Artificial Intelligence in Human Resource Management : A Review of Tools, Applications, and Ethical Considerations

Authors

  • Immaculata Omemma Evans-Uzosike  Independent Researcher, Abuja Nigeria
  • Chinenye Gbemisola Okatta  Independent Researcher, Abuja, Nigeria

Keywords:

Artificial intelligence, Human resource management, Review, Tools,, Applications, Ethical considerations

Abstract

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is reshaping the landscape of workforce planning, talent acquisition, performance evaluation, and employee engagement. This review provides a comprehensive analysis of the tools, applications, and ethical considerations associated with the deployment of AI technologies across the HR lifecycle. Drawing upon recent academic research, industry case studies, and technological developments from 2010 to 2024, this examines how AI—through techniques such as machine learning, natural language processing, robotic process automation, and predictive analytics—is being applied to enhance efficiency, reduce administrative burdens, and personalize the employee experience. AI tools are now widely used in automating resume screening, conducting sentiment analysis, facilitating continuous feedback, and forecasting attrition. Adaptive learning systems and AI-powered chatbots are also transforming employee onboarding, development, and engagement processes. These technologies offer substantial strategic advantages, including cost reduction, data-driven decision-making, and scalable talent management solutions. However, the adoption of AI in HRM also raises critical ethical and operational challenges. Key concerns include algorithmic bias, lack of transparency, data privacy risks, and accountability in decision-making. If not properly addressed, these issues can undermine fairness, trust, and inclusivity in the workplace. This review highlights the importance of a human-centered and ethically aligned approach to AI deployment in HR. It calls for greater transparency, inclusive design, and the establishment of governance frameworks that ensure algorithmic fairness and compliance with data protection regulations. This concludes by emphasizing the role of HR leaders in guiding responsible AI adoption and recommends upskilling HR teams to foster digital fluency. As organizations continue to navigate the evolving intersection of technology and human capital, AI presents both a transformative opportunity and a profound responsibility for shaping the future of work.

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2023-06-25

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Volume 9, Issue 3, May-June-2023

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[1]
Immaculata Omemma Evans-Uzosike, Chinenye Gbemisola Okatta, " Artificial Intelligence in Human Resource Management : A Review of Tools, Applications, and Ethical Considerations" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.785-802, May-June-2023.