THE FUTURE OF AI IN HRM. A CASE STUDY OF THE HR DECISION-MAKING

Abstract

Purpose: The purpose of the study was to identify whether companies are actually using artificial intelligence technology in HR departments in relation to the employee life cycle, and to present the possibilities of using artificial intelligence in HRM, in light of the available literature. Need for the study: In the face of dynamic digital transformation and growing challenges in talent management, understanding how AI can transform HRM and HR decisions related to HR functions is becoming crucial for organizations looking to increase efficiency and competitiveness. Methodology: The research methods used in this article include a critical analysis of the source literature, the method of diagnosis of the current state and prospects of the application of artificial intelligence in HRM and the method of synthesis with regard to the construction of conclusions in the theoretical and pragmatic spheres, as well as the analysis of primary data from interviews conducted three Polish companies and presented in the case study. Findings: The analysis and evaluation conducted in the article showed that the implementation of AI in HRM can lead to increased efficiency in HR departments, improved employee and candidate experiences, and more strategic data-driven decision-making. This increases awareness of the potential of technology in improving HR functions and adapting to the challenges of the modern labour market. The future of HR functions using AI will be characterized by greater automation, better data-driven decisions, more personalized employee experiences and a strategic approach to talent management. Nevertheless, potential challenges related to algorithm bias, data privacy and employee acceptance of technology were also identified. Practical Implications: The results obtained can help in planning HR functions and HR decisions, freeing HR professionals from routine tasks, allowing them to focus on more strategic initiatives and contributing to improving overall organizational performance and employee satisfaction. The problems associated with the under-utilization of AI in HRM remain a challenge for the future.

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