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April 8, 2026Proceedings of the Institution of Civil Engineers - Engineering History and Heritage1 citations

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

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DSDongping SuNONazariah OsmanRIRabiul Islam

Key Points

  • The study investigates the influence of the Belt and Road Initiative on built heritage and how generative AI can aid in preservation efforts.
  • Examined case studies from Pakistan, Kenya, Uzbekistan, and Malaysia
  • Conducted a thematic review of AI-enabled interventions
  • Analyzed the implications of AI in cultural heritage preservation
  • Identified opportunities for AI to enhance preservation and public engagement
  • Highlighted risks including biases and cultural agency erosion
  • Discussed the need for governance frameworks that balance tech innovation with cultural sensitivity

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.

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Cite This Study

Su et al. (2026) studied this question.

synapsesocial.com/papers/69d5f05d74eaea4b11a79ca5https://doi.org/10.1680/jenhh.25.00021
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