THEORETICAL APPROACHES TO THE DEVELOPMENT OF EMPLOYEE FEEDBACK SYSTEMS IN MODERN ORGANIZATIONS BASED ON ARTIFICIAL INTELLIGENCE

Abstract

This article examines how modern information technologies and artificial intelligence enhance employee feedback systems in organizations, especially in Uzbekistan, by analyzing current practices and international approaches. It underscores the importance of effective employee-management communication for organizational growth. Traditional feedback systems face issues like lack of anonymity, low participation, and difficulties processing unstructured data, limiting decision-making and insight utilization. The study highlights AI methods such as natural language processing and sentiment analysis to automate opinion analysis, detect hidden patterns, and generate reliable insights, even with incomplete data. Consequently, intelligent feedback systems can serve as decision support tools, boosting organizational performance, employee engagement, and data-driven management.