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.
Article navigation
19 May 2026
Research Article|
April 07 2026
Generative AI and digital preservation of built heritage under the Belt and Road Initiative Available to Purchase
Dongping Su
;
School of International Studies,
Universiti Utara Malaysia
, Kedah, Malaysia
Corresponding author Dongping Su (13321438980@163.com)
Search for other works by this author on:
Nazariah Osman;
Nazariah Osman
School of International Studies,
Universiti Utara Malaysia
, Kedah, Malaysia
Search for other works by this author on:
Rabiul Islam
Rabiul Islam
School of International Studies,
Universiti Utara Malaysia
, Kedah, Malaysia
Search for other works by this author on:
Corresponding author Dongping Su (13321438980@163.com)
Publisher: Emerald Publishing
Received:
June 16 2025
Accepted:
February 17 2026
Online ISSN: 1757-9449
Print ISSN: 1757-9430
© 2026 Emerald Publishing Limited
2026
Emerald Publishing Limited
Licensed re-use rights only
Proceedings of the Institution of Civil Engineers - Engineering History and Heritage (2026) 179 (2): 52–65.
Article history
Received:
June 16 2025
Accepted:
February 17 2026
Citation
Su D, Osman N, Islam R (2026), "Generative AI and digital preservation of built heritage under the Belt and Road Initiative". Proceedings of the Institution of Civil Engineers - Engineering History and Heritage, Vol. 179 No. 2 pp. 52–65, doi: https://doi.org/10.1680/jenhh.25.00021
Download citation file:
64
Views
Suggested Reading
Fusing multi-source data and point clouds to reconstruct ancient architecture
Proceedings of the Institution of Civil Engineers - Engineering History and Heritage (April,2026)
Manual calculation of push-down curve of RC building with lost column at first floor
Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics (October,2025)
Reconstruction of the Welsh Highland Railway, Snowdonia
Proceedings of the Institution of Civil Engineers - Civil Engineering (November,2008)
Community participation in post-disaster reconstruction
Proceedings of the Institution of Civil Engineers - Municipal Engineer (October,2015)
Empirical study of housing recovery and property abandonment following valley fire in California: insights from neighborhood characteristics and building attributes
International Journal of Disaster Resilience in the Built Environment (May,2022)
Related Chapters
Sustainable Urban Transformation in Developing Countries: A Case Study of Ghana
Urban Alchemy: A Governance and Planning Framework for Sustainable Urban Transformation in Developing Economies
Beijing Afforestation Project
Nature-Based Solutions for More Sustainable Cities – A Framework Approach for Planning and Evaluation
Census Forecasting in an Inpatient Rehabilitation Facility
Advances in Business and Management Forecasting
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
