AI in Service of Historical Memory and Mass Communication:DigitalReconstruction of Italo-Georgian Catholic Heritage

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Authors: Zaza Tsotniashvili
Cited by: 0

Abstract

This research explores the application of artificial intelligence in reconstructing and preserving Italo-Georgian Catholic heritage within frameworks of historical memory and mass communication.The study investigates how AI technologies, particularly deep learning and neural networks, can digitally reconstruct lost architectural elements, sacred texts, and cultural artifacts while simultaneously facilitating mass accessibility through innovative communication channels.The research employs a critical review of existing literature, case studies of digital heritage projects, and analysis of AI-driven restoration methodologies.Key findings reveal that AI enables unprecedented accuracy in heritage reconstruction while raising important questions about authenticity, cultural interpretation, and the role of technology in historical memory.The study demonstrates that when combined with rigorous scholarly methodology and community engagement, AI becomes a powerful instrument for democratizing access to shared Italo-Georgian Catholic heritage.The research calls for interdisciplinary collaboration between technologists, historians, theologians, and community stakeholders to ensure that digital reconstruction serves both preservation and equitable public communication objectives.

Fields of Study & Subjects

Image Processing and 3D Reconstruction 3D Surveying and Cultural Heritage Digital Humanities and Scholarship

Publication details

Journal / source
Addressing Contemporary Global Challenges, Sustainable Development, and Interdisciplinary Solutions in the Context of Modern Societal, Economic, Environmental, Technological, Psychological, and Media Transformations
Pages
16–25
Publication date
10 February 2026
Language
EN