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Dandinganahalli Shivakumar, Sathyashree (2025) Artificial Intelligence In Human Resource Management: Applications, Benefits And Ethical Implications. Masters thesis, Dublin, National College of Ireland.
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Abstract
The development of Artificial Intelligence (AI) is rapidly changing the face of Human Resource Management (HRM), which is how organizations can acquire, manage, and keep employees. This research proposal proposes the integration of AI technologies in HRM to examine its applications, benefits, and challenges to identify research gaps for future development. These technologies include machine learning algorithms, natural language processing, and predictive analytics employed in the recruitment process, talent management, employee engagement, and workforce planning. These technologies improve efficiency by performing tasks like sorting through resumes and managing payroll, and help in enhancing decision-making through real-time data analysis.
This study looks at how AI-based tools help in enhancing the employee experience, in improving the process of performance appraisal, and in supporting data-driven decisions on workforce management. Additionally, it will attempt to establish how AI can reduce bias in hiring and improve diversity in the workplace. This study looks closely at the ethical issues and practical challenges that come with using AI in HRM. It highlights the need for fair algorithms, responsible handling of employee data, strong AI security measures, and strategies to manage the risk of job displacement. The goal is to make sure AI is used in a way that is transparent and accountable. The research follows a mixed-methods approach, combining case studies, surveys, and interviews with experts to explore how AI is being applied in HRM across different industries.
The insights aim to give clear and useful guidance to HR professionals, policymakers, and organisations on how to benefit from AI while staying true to strong ethical standards. By examining AI’s role in HRM, this study seeks to help build organisations that are agile, inclusive, and innovative—while also keeping people at the heart of their operations to boost both performance and employee satisfaction.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Butler, John 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 P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing K Law > KDK Republic of Ireland > Data Protection H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management |
| Divisions: | School of Business (- 2025) > Masters of Science in Human Resource Management |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 01 Dec 2025 15:03 |
| Last Modified: | 01 Dec 2025 15:03 |
| URI: | https://norma.ncirl.ie/id/eprint/9001 |
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