AI and Human Resource Management: Challenges and Opportunities

Authors

  • Ms. Chaitali Pande, Dr Manisha Bhatnagar

DOI:

https://doi.org/10.64882/ijrt.v14.iS2.1169

Keywords:

Artificial Intelligence, Human Resource Management, Digital Transformation, AI Adoption, Algorithmic Bias, Employee Experience, Strategic HRM, HRM Challenges

Abstract

This paper is an integrative literature review that assesses the potential consequence of applying Artificial Intelligence to Human Resource Management particularly considering its advantages and drawbacks. Based on an analysis of 67 open access scientific articles that are indexed in Scopus database, the study identifies major AI applications for HRM such as recruitment training performance appraisal and talent management. The results indicate key benefits as increased decision making, enhanced operational efficiency, personalized HR and more competitive organizations. Yet there are downsides too bias in algorithm the opacity of data-driven processes suspicion of being driven by technocrats not workers, and the dehumanizing effects on workplace relationships. Organizational context, technology maturity and ethical governance determine the AI efficacy in HRM perspectives. The paper argues that the successful implementation of AI in HRM calls for a strategic EIRP orientation towards technology as well as an emphasis on fairness, transparency and people-management (Altman et al., 2019)

References

Alherimi, N., Abdulmaksoud, S., Ahmed, V., & Bahroun, Z. (2025). A systematic literature review of artificial intelligence advancements in green human resource management. Sustainability, 17(22), 10283. https://doi.org/10.3390/su172210283.

Budhwar, P., Malik, A., De Silva, M. T., & Thevisuthan, P. (2022). Artificial intelligence – challenges and opportunities for international HRM: A review and research agenda. Human Resource Management Journal, 32(6), 1065-1097. https://doi.org/10.1080/09585192.2022.2035161.

Budi Susilo, Y., Kurniawan, Y., & Noordin, N. (2025). Artificial Intelligence in Human Resource Management: A bibliometric analysis of case studies on implementation trends and practices. SSRN. https://ssrn.com/abstract=5137725 or http://dx.doi.org/10.2139/ssrn.5137725.

Cappelli, P., Tambe, P., & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. Industrial Relations Research Association.

Chakra, R., Oulamine, A., Bahida, H., Ziky, R., & Massiki, A. (2025). The integration of artificial intelligence in human resource management practices: A review of literature and bibliometric. International Journal of Innovation Research and Social Sciences, 8(5), 9244. https://doi.org/10.53894/ijirss.v8i5.9244.

Dwivedi, M. (2025). Opportunities and challenges of AI implementation in human resource management: A systematic review. International Journal of Management Research and Global Economy, 6(4), 1160-1168. https://doi.org/10.54660/.IJMRGE.2025.6.4.1160-1168

https://pmc.ncbi.nlm.nih.gov/articles/PMC11188403/.

https://sajhrm.co.za/index.php/sajhrm/article/view/2960/4807

https://www.aihr.com/blog/ai-in-hr/

https://www.compunnel.com/blogs/ai-in-hr-2025-a-guide-to-balancing-innovation-and-recruitment-challenges/?referrer=grok.com.

https://www.ibm.com/think/topics/ai-in-hr

https://www.imd.org/blog/digital-transformation/ai-in-hr/

https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potental-at-work?referrer=grok.com

https://www.nelsonconnects.com/learning-center/blogs/the-benefits-and-challenges-of-using-ai-in-human-resources

https://www.researchgate.net/publication/328798021_Artificial_Intelligence_in_Human_Resources_Management_Challenges_and_a_Path_Forward.

https://www.shrm.org/in/topics-tools/research/2025-talent-trends/ai-in-hr?referrer=grok.com

Jaiswal, R., Dixit, A. K., Saxena, T., Yadav, A. S., & Verma, N. (2025). The challenges and role of AI in HRM: Opportunities and ethical challenges on HR digitalization. Advances in Consumer Research, 4, 3952-3965.

Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 1–22. https://doi.org/10.1016/j.hrmr.2021.100857.

Sarjito, A. (2025). Human resource management in the AI era: Challenges and opportunities. SNIMEKB, 2(2). https://doi.org/10.55927/snimekb.v2i2.6986.

Sundari, M. H., L, M., Riswan, R., & Muthuraj, V. (2025). Artificial intelligence in human resource management: A systematic literature review and human-centered framework. International Research Journal on Advanced Engineering and Management, 3(10), 3010-3022. https://doi.org/10.47392/IRJAEM.2025.0478.

Úbeda-García, M., Marco-Lajara, B., Zaragoza-Sáez, P. C., & Poveda-Pareja, E. (2025). Artificial intelligence, knowledge, and human resource management: A systematic literature review of theoretical tensions and strategic implications. Journal of Innovation & Knowledge, 10(6), 100809. https://doi.org/10.1016/j.jik.2025.100809.

Verma, P., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI-Augmented HRM: Literature review and a proposed multilevel framework for future research. Technological Forecasting and Social Change, 193, 122645. https://doi.org/10.1016/j.techfore.2023.122645.

Downloads

How to Cite

Ms. Chaitali Pande, Dr Manisha Bhatnagar. (2026). AI and Human Resource Management: Challenges and Opportunities. International Journal of Research & Technology, 14(S2), 8–14. https://doi.org/10.64882/ijrt.v14.iS2.1169

Issue

Section

Original Research Articles

Similar Articles

<< < 5 6 7 8 9 10 11 12 13 14 > >> 

You may also start an advanced similarity search for this article.