The role of artificial intelligence and multilingual communication in the digital re-actualization of architectural heritage

Abstract

Architectural heritage persists as a dense archive of civic memory, identity, and dispute, even when the political cartography surrounding it alters rapidly and unpredictably. Recent fragmentation in geopolitical regimes has reshaped platform infrastructures, attenuated international collaboration, and amplified the volatility of public narratives. Within this context, artificial intelligence and multilingual communication have become decisive mediations in the renewed presentation and interpretation of built heritage. The present study examines digital re-actualization as a cultural practice that reattaches historical form to contemporary meaning through algorithmic curation, computational perception, and cross-­linguistic narration. The analysis synthesizes scholarship in digital heritage, urban semiotics and memory, platform governance, AI methods in heritage, linguistic landscape and translingualism pedagogy, and ethical critiques of data colonialism. It advances a framework that treats AI outputs as interpretive proposals subject to communal correction. Methodological attention falls on interface reading, comparative platform observation, and classroom-­based interventions in which learners act as co-curators across languages. Case vignettes from global cities elucidate recurring tensions between democratization and extraction, visibility and erasure, completion and honest loss, fluency and local texture. Findings highlight design principles for multilingual curation, transparency in recommendation logics, and participatory governance capable of sustaining cultural memory under pressure. The article concludes with pedagogical and institutional guidelines for ethical, AI-supported heritage work that defends plural narration and cultivates civic literacy in the presence of powerful technical systems.