Impact of Artificial Intelligence on Human Resource Management: A Study on Recruitment and Performance Evaluation Processes

Abstract

Artificial Intelligence (AI) has proven to be one of the most influential techniques in re form for organizational operations, especially in the domains of Human Resource Management (HRM). With the increase in digital changes, companies rapidly depend on AI operated equipment to manage and optimize HR functions. This study focuses specifically on how AI affects two important HRM functions: recruitment and performance evaluation. These tasks are traditionally human operated, but are now automated and expanded with intelligent systems.
In the recruitment process, the AI application is used to initiate screening, candidate ranking, video interview analysis, and even future recruitment. These tools help organizations to reduce the price from time to time, eliminate human bias to a degree and increase the overall candidate experience. According to recent industry reports, companies that use AI based recruitment solutions have reported significant improvements in employment accuracy and efficiency. This study undergoes such data and evaluates the practical efficiency of these devices in real settings.
In the same way, AI in performance evaluation plays an increasing role in tracking production, analyzing behavioral trends and providing real time reaction through automated systems. AI models can identify high design employees and also predict the risks of risks based on historical computer patterns. AI integration in results management systems is associated with employee transparency, low content and better adjustment of organizational goals.
Although AI provides many benefits, it also increases moral and operational challenges. There is a need for issues related to the privacy of data, algorithm bias, lack of human sympathy and over on automation.