Artificial Intelligence in Digital Heritage Preservation

Abstract

Artificial intelligence (AI) is another breakthrough in the process of digital heritage restoration, allowing to enhance accuracy, scale, and cultural accessibility thereof.  Within the design of this research was a mixed-methods experimental approach to understanding AI applications with quantitative modelling and qualitative outlooks of heritage specialists.  Quantitative findings revealed that AI techniques such as image recognition, 3D reconstruction, and natural language processing worked well in making their forecast, many of them having accuracy and F1-scores of over 0.90.  Regression analysis revealed that there were high correlations between the size of information, the sum of the amount financed, and the outcome of preservation. The results of the comparison between the baseline and AI-enhanced models indicated the increase in the key criteria by 20 to 30 per cent.  The regional analysis indicated that the leaders in finance and adoption are Europe and Asia, whereas Africa and South America are new territories with innovations, even though these regions lack a lot of resources.  These findings were supported by qualitative analysis, which highlighted the cultural ethical value, such as authenticity, ownership, and accessibility of data.  These results demonstrate the role of AI in increasing the efficiency of heritage digitization and changing the global practices and protecting the access of the world heritage to future generations.  The study suggests that AI would be best employed in tandem with other strategies that fuse computational accuracy with cultural consciousness and make it an essential constituent of sustainable heritage preservation.