AI applications in cultural heritage preservation: technologcal advancements for the conservation

Abstract

The protection of cultural heritage is very important for preserving the historical heritage of societies and for the continuation of cultural diversity. The emergence of artificial intelligence (AI) technologies has opened new horizons for innovative and efficient protection methods in this field. This study examines literature examples of applications of artificial intelligence in the preservation of cultural heritage, focusing on its impact on the digitization, documentation, analysis, restoration and preservation of cultural artifacts and historical sites. Artificial intelligence technologies are revolutionizing the digitization and documentation of cultural heritage assets. Automated scanning, 3D modeling, and virtual reality applications facilitate the creation of accurate digital copies, increasing accessibility for researchers, educators, and the public. In the field of conservation, artificial intelligence algorithms play a crucial role in identifying damage and formulating targeted restoration plans for deteriorated artifacts and structures. Using AI, image recognition and pattern detection, it assists experts in preserving sensitive artworks and archaeological items. AI also contributes to the protection of cultural heritage sites by addressing physical effects through environmental monitoring. AI-powered sensors and data analytics detect potential risks such as temperature changes, humidity fluctuations and air pollution, enabling timely response to reduce environmental impacts. Thanks to artificial intelligence, necessary precautions can be taken before existing or potential risks damage the heritage. In conclusion, AI applications in cultural heritage preservation represent a significant advance in the conservation and reintegration of collective heritage. By balancing technological innovation with ethical concerns, cultural heritage can be preserved in a sustainable and inclusive way for future generations.