The Impact of Applying Artificial Intelligence on Human Resources Management in Jordanian Banks

Abstract The study aims to investigate artificial intelligence (expert systems, knowledge representation and reasoning, automatic learning and effectiveness) on human resources management in Jordanian banks. The descriptive analytical method was used by developing a digital questionnaire that was distributed to a purposive sample of the study population, which includes employees of directors of human resources departments and workers in the human resources department. To answer the study’s questions and hypotheses, the data was analyzed using the SPSS program. It was found that artificial intelligence variables (expert systems, knowledge representation and reasoning, automatic learning, and effectiveness) are associated with a positive, statistically significant relationship with training and development. It was also found that artificial intelligence variables (expert systems, knowledge representation and reasoning, automatic learning, and effectiveness) are associated with a positive, statistically significant relationship with selection and appointment. Finally, the results concluded that artificial intelligence explains a large portion of the variance in incentives, which indicates a positive and statistically significant relationship. The study recommended that the expanding the use of artificial intelligence techniques in human resources management, and conduct more future studies about the relationship between the use of artificial intelligence technologies and other human resources practices such as: (performance evaluation, wages and compensation, talent management).