ARTIFICIAL INTELLIGENCE-BASED SYSTEM FOR DESCRIBING AND DIGITIZING MUSEUM EXHIBITS: THE CASE OF UZBEKISTAN

Abstract

The integration of Artificial Intelligence (AI) into museum management represents a revolutionary step toward modernizing cultural heritage preservation. In recent years, the growing need to digitize museum collections has become a strategic priority worldwide, including in Uzbekistan.However, many museums in developing countries still rely on manual cataloging methods that are time-consuming and prone to human error. This study proposes an AI-driven system designed to automate the description, classification, and digitization of museum exhibits. By applying image recognition, metadata extraction, and semantic tagging techniques, the research aims to enhance the efficiency and accuracy of museum documentation processes.The study also examines current digital transformation initiatives in Uzbekistan’s museums and analyzes the challenges of implementing AI-based technologies in cultural institutions.The findings reveal that AI applications can significantly reduce human bias in exhibit documentation, improve data accessibility, and ensure the long-term preservation of cultural heritage. The research contributes to the growing body of literature on digital museology and offers a framework for integrating intelligent technologies into museum practices in Central Asia.