31, October 2025

HUMAN & AI RELATION FOR THE FUTURE – SPECIAL REFERENCE TO WORKFORCE MANAGEMENT

VOLUME-11; ISSUE-10; OCT-2025

Author(s): Parvathy Lohidas, Mamatha P G, Arjun M.

Authors Affiliations:

Assistant Professors, Department of Management Studies, St. Aloysius College, Elthuruth

DOIs:10.2015/IJIRMF/202510027     |     Paper ID: IJIRMF202510027


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The evolving relationship between human beings and Artificial Intelligence (AI) heralds a new era in workforce management. This study investigates how AI technologies are reshaping work environments, augmenting human capabilities while posing challenges related to ethics, employment, and organizational dynamics. We analyze AI-driven tools for talent acquisition, task automation, performance evaluation, and workforce planning. With real-world case studies and literature reviews, this Employee Well-being paper offers strategic insights for integrating AI-human collaboration to create resilient, adaptable, and ethical workplaces. Emphasis is placed on the opportunities and challenges in the Indian context. The rapid adoption of AI across industries necessitates a balanced approach to harness its benefits while safeguarding employee rights and well-being. By promoting transparency and explainability in AI systems, organizations can build trust and foster acceptance among the workforce. Furthermore, the study highlights the critical need for upskilling and reskilling initiatives to prepare employees for AI-augmented roles. It also examines the socio-economic implications of AI-driven automation, particularly its impact on job displacement and workforce diversity. Ultimately, this research underscores the importance of ethical governance and inclusive policies to ensure that AI empowers rather than marginalizes workers in the evolving landscape of employment.

Human-AI collaboration, Workforce management, Talent acquisition, Ethical AI, Future of work, Data Scientist, HRMS

Parvathy Lohidas, Mamatha P G, Arjun M. (2025); HUMAN & AI RELATION FOR THE FUTURE – SPECIAL REFERENCE TO WORKFORCE MANAGEMENT, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-10, Pp.186-190.          Available on –   https://www.ijirmf.com/

  1. Guembe, B., Azeta, A., Misra, S., Osamor, V. C., Fernandez-Sanz, L., & Pospelova, V. (2022). The emerging threat of ai-driven cyber attacks: A review. Applied Artificial Intelligence, 36(1), 2037254.
  2. Li, L. (2024). Reskilling and upskilling the future-ready workforce for industry 4.0 and beyond. Information Systems Frontiers, 26(5), 1697-1712.
  3. Shenoi, V. V., Sreeram, P., Varma, C. L. S., Goud, K. R., & Afroz, S. N. (2024, April). Analysing the role of human-AI collaboration in workforce transformation. In 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)(pp. 1-7). IEEE.
  4. Caldwell, C., & Karri, R. (2005). Organizational governance and ethical systems: A covenantal approach to building trust. Journal of business ethics, 58(1), 249-259.
  5. Findler, L., Wind, L. H., & Barak, M. E. M. (2007). The challenge of workforce management in a global society: Modeling the relationship between diversity, inclusion, organizational culture, and employee well-being, job satisfaction and organizational commitment. Administration in social work, 31(3), 63-94.
  6. Bughin, J., Hazan, E., Lund, S., Dahlström, P., Wiesinger, A., & Subramaniam, A. (2018). Skill shift: Automation and the future of the workforce. McKinsey Global Institute, 1(2018), 3-84.
  7. Howard, J., & Schulte, P. (2019). The impact of technology on work and the workforce.
  8. Calzavara, M., Battini, D., Bogataj, D., Sgarbossa, F., & Zennaro, I. (2020). Ageing workforce management in manufacturing systems: state of the art and future research agenda. International Journal of Production Research, 58(3), 729-747.
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