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Shajan, Aman (2025) Ethical Implications of Artificial Intelligence in Human Resource Management: Balancing Efficiency with Fairness. Masters thesis, Dublin, National College of Ireland.
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Abstract
This study examines the ethical considerations of implementing AI in Human Resource Management (HRM), especially when it appears as a fundamental area of talent acquisition, evaluative work, and employee engagement. Amid the rising popularity of using AI as a method of improving operational efficiency, minimizing bias, and simplifying HR procedures, this study brings up the emerging issues of fairness, transparency, accountability, and employee trust. Based on the socio-technical and the stakeholder theories, the paper has outlined the importance of developing ethical models of AI to make sure that it enhances but not replaces human judgment. It used a quantitative approach with pre-structured questionnaires addressed to 250 HR professionals and employees in different industries in the UK. Correlation and regression analyses demonstrated that although AI improves the functional values of operation, its success and adoptability depends considerably on the transparency of algorithms, ethical considerations, and the sense of taking care of employees as being reasonably fair with them. Critical findings show that AI in recruiting, performance management, and employee retention has a constructive impact on trust when combined with clear ethical principles. The findings support the opinion that organizations should adopt explainable AI and ensure that they have human guiding in decision-making. Besides, the research defines the lacks of available literature, mainly in terms of the global and practice-related use of ethical AI in HRM. The study will eventually offer practical guidelines that organizations can adapt to apply AI ethically in their HR practices and engage employees towards ethical, inclusive, and responsible innovation to protect their rights. The insights help in creating the dynamic debate of balancing an advancement in technology with ethical HR governance in digital era.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Jameel Syed, Muslim UNSPECIFIED |
| Subjects: | Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Performance Management > Employee Engagement H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management |
| Divisions: | School of Business (- 2025) > Master of Arts in Human Resource Management |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 09 Dec 2025 13:58 |
| Last Modified: | 09 Dec 2025 13:58 |
| URI: | https://norma.ncirl.ie/id/eprint/9021 |
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