Design and Implementation of Human Resource Optimization and Decision System for Universities Based on Artificial Intelligence Algorithms

With the development of the times, many universities have made a lot of effective work in the informatization of human resource management. By fully utilizing human resources and fully tapping into the potential of faculty and staff, one can continuously improve the quality of education and enhance the level of education. However, there is still a problem of insufficient efficiency in human resources in universities nowadays. Therefore, this article focused on the design and implementation of artificial intelligence algorithm based human resource optimization and decision-making systems in universities. The aim is to optimize the human resource system and its decision-making ability through artificial intelligence algorithms. This article tested the accuracy of personnel data information statistics in university human resource systems using artificial intelligence through experiments. The data found that the accuracy of personnel data information in university human resource management systems using artificial intelligence was the highest at 94
^%
and the lowest at 85%. The accuracy of personnel data information in traditional university human resource management systems was highest at 76% and lowest at 70%. From this experimental result, it can be seen that artificial intelligence algorithms have achieved good results in optimizing university human resource systems.