The study aims to assess artificial intelligence's effects on select HRM functions and to validate the proposed conceptual framework through empirical analysis showing the connection between HRM function as well as artificial intelligence. Questionnaire consisting of closed-ended questionnaires were distributed in order to achieve these goals. The reliability, validity, and correlation analysis were used to assess the factors that make up the suggested model. The hypothesis was further tested and the suggested model was validated using regression analysis. Findings show that all variables account for 89% of HRM explanation, with a R square (R2) of 0.890. The ANOVA values for the regression model, indicate validation at a 95% confidence level. The beta (β) values of all factors are 0.902 and 0.545 in the coefficient summary, which is a reasonable representation of their influence on HRM. These strong AI-based HR apps are a valuable tool for any type of business, even though they lack cognitive capacities of humans. This study will help most businesses to successfully integrate AI-related techniques into hiring, according to our research, as AI will permeate every aspect of HR in the near future and should be seen as a good thing since it makes life better.
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