ARTIFICIAL INTELLIGENCE (AI) IN HUMAN RESOURCES MANAGEMENT PROCESS
Human Resources Management (HRM) has evolved significantly,
shifting from its traditional administrative role to becoming a strategic
partner within organizations. This transformation has been driven by
globalization and technological advancements, enabling HR to efficiently manage
staffing, employee performance, skills development, and compensation. In modern
times, HR professionals emphasize the importance of cultivating productive and
compassionate work environments. They utilize artificial intelligence (AI) to
improve operational effectiveness while ensuring that the essential human touch
remains central to the workplace dynamics.
Introduction of AI in HRM
Artificial Intelligence (AI) refers to systems designed to replicate
human cognitive functions. In the context of Human Resource Management (HRM),
AI is increasingly employed to automate processes, analyse data, and generate
insights that facilitate strategic decision-making. Over the past sixty years,
AI has experienced remarkable growth, particularly gaining prominence in the
last two decades (Morgenstern et al., 2021). The swift advancement of AI
technologies has rendered them vital in diverse sectors such as engineering, medicine,
management, agriculture, tourism, and transportation (Mintz & Brodie,
2019). These developments have been widely embraced in both the public and
private sectors (Haenlein & Kaplan, 2019).
Key areas of AI intervention in HRM
Managing employee records, Streamlining recruitment and selection processes, Automating payroll process, Conducting performance management and assessments, Administering employee benefits, Facilitating new employee onboarding , Supporting HR service desks are significant interventions within Human Resource Management (Baggio & Omana, 2019; Langer et al., 2019; Nawaz & Gomes, 2019; Niehueser & Boak, 2020; Nocker & Sena, 2019; Savola et al., n.d.).
The main advantages of AI in Human Resource Management (HRM), such as saving time and reducing costs, are driven by important factors including accuracy, automation, computational power, real-time capabilities, and personalization. AI-powered recruitment tools effectively align candidates' skills and qualifications with job requirements. Additionally, AI-driven HR analytics can process large amounts of data accurately, offering valuable insights that aid in informed decision-making (Malik, Budhwar et al., 2022). According to Vrontis et al., 2022, utilizing AI for precision in HRM enhances various functions, resulting in greater efficiency, cost savings, and improved employee satisfaction.
Challenges and Considerations
Data privacy and ethics are critical considerations, as they involve managing sensitive information in a way that is both ethical and legally compliant. Additionally, successful integration of AI tools requires ensuring that these technologies work smoothly with existing systems within the organization. Furthermore, skill development is essential, as it involves upskilling HR professionals to effectively utilize AI technologies in their daily operations.
Top Global Success Stories of Artificial Intelligence Transforming Industries
Conclusion
The strategic implementation of AI in Human Resource Management
improves efficiency, enhances decision-making, and enriches employee
experiences. Thoughtful planning, ethical considerations, and the proactive
management of challenges are essential for achieving successful integration.
References
Deloitte (2017). "Using artificial intelligence in HR: Time to replace the humans?" Deloitte Insights.KPMG (2020). "The future of HR: Is AI the answer?" KPMG
Insights.
PwC (2019). "AI and HR: The impact on hiring, engagement, and
retention." PwC Insights.
Bersin, J. (2018). "AI in HR: It's about productivity."
Deloitte Insights.
Baggio, R., & Omana, M. (2019). AI Applications in HR Management
Haenlein, M., & Kaplan, A. (2019). The Role of AI in Modern Business
Langer, R., et al. (2019). Innovations in AI for Human Resource
Management.
Malik, S., Budhwar, P. S., et al. (2022). AI-Powered HR Analytics and
Decision-Making.
Mintz, S., & Brodie, C. (2019). AI Integration Across Industries
Nawaz, A., & Gomes, R. (2019). Streamlining HR Processes with AI
Nocker, L., & Sena, M. (2019). Advancements in AI and HR Practices
Niehueser, A., & Boak, J. (2020). Automating HR Tasks with Artificial
Intelligence
Savola, P., et al. (n.d.). Future Trends in AI and HR
Morgenstern, K., et al. (2021). The Evolution of AI in the Past Six
Decades.
Vrontis, D., et al. (2022). AI Precision and Efficiency in Human
Resource Management.
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