Artificial Intelligence for the Preservation and Transmission of Non-Material Cultural Heritage: Opportunities, Ethical Challenges, and Future Directions

Non-Material Cultural Heritage (ICH), encompassing vital traditions, knowledge, and skills, faces significant threats from modernization and declining transmission. Although traditional conservation methods have fundamental value, they are often insufficient in terms of scale, accessibility and dynamic presentation. This paper explores the potential of Artificial Intelligence (AI) technologies to offer innovative approaches for the documentation, preservation, and transmission of ICH. We identify several promising AI application areas, including intelligent documentation, virtual representation, personalized learning, and assisted creation. While AI applications offer significant potential, this paper concludes that their responsible deployment necessitates addressing critical ethical risks such as data ownership and authenticity. Therefore, a conceptual framework understanding AI's dual role, coupled with community-centric ethical guidelines, is vital. This research ultimately highlights that interdisciplinary collaboration is crucial for ensuring AI genuinely empowers and vitalizes ICH for future generations.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-07-20
DOI
https://doi.org/10.54254/2755-2721/2025.po25257
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
2.35
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article

Artificial Intelligence for the Preservation and Transmission of Non-Material Cultural Heritage: Opportunities, Ethical Challenges, and Future Directions

Delin Zhang
1 citations
Applied and Computational Engineering
3D Surveying and Cultural Heritage
2.35
article

Artificial Intelligence for the Preservation and Transmission of Non-Material Cultural Heritage: Opportunities, Ethical Challenges, and Future Directions

Delin Zhang
article en
1 citations

Abstract

Non-Material Cultural Heritage (ICH), encompassing vital traditions, knowledge, and skills, faces significant threats from modernization and declining transmission. Although traditional conservation methods have fundamental value, they are often insufficient in terms of scale, accessibility and dynamic presentation. This paper explores the potential of Artificial Intelligence (AI) technologies to offer innovative approaches for the documentation, preservation, and transmission of ICH. We identify several promising AI application areas, including intelligent documentation, virtual representation, personalized learning, and assisted creation. While AI applications offer significant potential, this paper concludes that their responsible deployment necessitates addressing critical ethical risks such as data ownership and authenticity. Therefore, a conceptual framework understanding AI's dual role, coupled with community-centric ethical guidelines, is vital. This research ultimately highlights that interdisciplinary collaboration is crucial for ensuring AI genuinely empowers and vitalizes ICH for future generations.

Applied and Computational EngineeringVol. 174(1)
Qilu University of Technology (CN)
Openalex Percentile: Top 12%
3D Surveying and Cultural Heritage
2.35
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Artificial Intelligence for the Preservation and Transmission of Non-Material Cultural Heritage: Opportunities, Ethical Challenges, and Future Directions — Delin Zhang · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS