Generative AI and digital preservation of built heritage under the Belt and Road Initiative

This paper addresses a critical tension at the intersection of large-scale infrastructure development and emerging digital technologies: the impact of China’s Belt and Road Initiative (BRI) on built heritage and the role of generative artificial intelligence (AI) in shaping preservation responses. While BRI has spurred economic growth and cultural tourism across Asia and Africa, it has also accelerated the degradation and displacement of vulnerable heritage sites. Drawing on case studies from Pakistan, Kenya, Uzbekistan, and Malaysia, this study explores how generative AI – ranging from neural rendering to predictive analytics – has been deployed to digitally document, simulate, and reimagine cultural heritage under threat. Through a thematic review of AI-enabled interventions, the paper identifies both opportunities and risks: AI can extend preservation and public engagement but also introduces biases, erodes cultural agency, and risks data colonialism when governed by unbalanced power structures. Governance gaps, epistemic asymmetries, and ethical ambiguities remain pervasive. The findings highlight the need for sector-specific frameworks that integrate technical innovation with cultural sensitivity, legal clarity, and participatory governance. This paper offers a critical lens for policymakers, technologists, and heritage professionals seeking to align AI deployment with sustainable, inclusive heritage futures under the transformative pressures of BRI-led development.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Engineering History and Heritage
Published
2026-04-06
DOI
https://doi.org/10.1680/jenhh.25.00021
Primary Topic
Cultural Heritage Management and Preservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI and digital preservation of built heritage under the Belt and Road Initiative

Nazariah Osman, Dongping Su, Rabiul Islam
Proceedings of the Institution of Civil Engineers - Engineering History and Heritage
Cultural Heritage Management and Preservation
article

Generative AI and digital preservation of built heritage under the Belt and Road Initiative

Nazariah Osman, Dongping Su, Rabiul Islam
article en

Abstract

This paper addresses a critical tension at the intersection of large-scale infrastructure development and emerging digital technologies: the impact of China’s Belt and Road Initiative (BRI) on built heritage and the role of generative artificial intelligence (AI) in shaping preservation responses. While BRI has spurred economic growth and cultural tourism across Asia and Africa, it has also accelerated the degradation and displacement of vulnerable heritage sites. Drawing on case studies from Pakistan, Kenya, Uzbekistan, and Malaysia, this study explores how generative AI – ranging from neural rendering to predictive analytics – has been deployed to digitally document, simulate, and reimagine cultural heritage under threat. Through a thematic review of AI-enabled interventions, the paper identifies both opportunities and risks: AI can extend preservation and public engagement but also introduces biases, erodes cultural agency, and risks data colonialism when governed by unbalanced power structures. Governance gaps, epistemic asymmetries, and ethical ambiguities remain pervasive. The findings highlight the need for sector-specific frameworks that integrate technical innovation with cultural sensitivity, legal clarity, and participatory governance. This paper offers a critical lens for policymakers, technologists, and heritage professionals seeking to align AI deployment with sustainable, inclusive heritage futures under the transformative pressures of BRI-led development.

Proceedings of the Institution of Civil Engineers - Engineering History and Heritage
Northern University of Malaysia (MY)
Openalex Percentile: Top 19%
Cultural Heritage Management and Preservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.