REIMAGINING HUMAN RESOURCE MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE: OPPORTUNITIES, RISKS, AND FUTURE DIRECTIONS

Povzetek

When compared to human efforts, artificial intelligence is far more efficient when it comes to analyzing large datasets to draw clear conclusions. The time and effort required to assign such large jobs to individuals would be prohibitive, and the likelihood of analytical mistakes would rise dramatically. The integration of AI into mundane yet crucial HR processes heralds a new age in human resource management, one that will usher in unprecedented levels of operational efficiency. Payroll, benefits administration, and record keeping are just a few of the essential tasks that have been automated by AI, which has reduced human error and freed up valuable time. Furthermore, ML's constant operating capacity (i.e., lack of tiredness or monotony) guarantees steady performance and dependability all day long. The business gains from this efficiency boost since it streamlines industrial procedures, decreases the chance of mistakes, and, by extension, improves work outputs. In light of the pressing need for AI adoption by organisations, we conducted a scoping analysis of the literature on AI-HRM to identify its key contributions. The results of the study provide credence to the role of human resources experts in AI-related changes. To help businesses embrace AI, HR experts may provide training on how to use AI-powered tools and systems and work with other divisions (like IT) to integrate AI solutions smoothly. If human resources professionals aren't passionately convinced of the benefits of technological transformation, their dual position as workers and HR specialists supporting management might make it difficult for them to lead the charge. In conclusion, we urge researchers to do more empirical studies on the issue of AI adoption in HRM so that we can better understand it and provide support to HR professionals, line managers, and employees as they work to positively and sustainably integrate AI into their organisations.