Author
Abstract
Buddhist cultural heritage constitutes one of the world’s most significant repositories of religious, historical, artistic, and intellectual traditions. It encompasses tangible heritage, including temples, monasteries, sculptures, manuscripts, inscriptions, paintings, and archaeological sites, as well as intangible heritage such as rituals, meditation practices, oral traditions, chanting, philosophical teachings, and monastic customs. These cultural assets face increasing threats from environmental degradation, climate change, urban development, armed conflicts, tourism pressures, material deterioration, and the gradual disappearance of traditional knowledge holders. Recent advances in Artificial Intelligence (AI) have introduced new possibilities for documenting, preserving, restoring, interpreting, and disseminating Buddhist cultural heritage. Technologies including machine learning, computer vision, natural language processing, optical character recognition, generative AI, and digital twins are transforming heritage management by enabling automated manuscript transcription, virtual reconstruction of damaged monuments, multilingual translation of canonical texts, predictive conservation, and interactive educational platforms. Despite these opportunities, AI also presents important ethical, cultural, and governance challenges concerning authenticity, algorithmic bias, data ownership, cultural sensitivity, and the potential misrepresentation of sacred knowledge. This study examines the emerging role of AI in preserving and transmitting Buddhist cultural heritage through a critical review of recent interdisciplinary scholarship. It analyses the applications of AI across tangible and intangible heritage while evaluating their implications for heritage conservation, religious education, and cultural sustainability. The paper argues that AI should complement rather than replace traditional custodianship exercised by monastic communities, heritage professionals, and cultural institutions. Sustainable preservation requires interdisciplinary collaboration among Buddhist scholars, computer scientists, conservators, museums, libraries, governments, and international organizations. The study proposes a human-centred framework that integrates technological innovation with ethical governance and cultural authenticity. Such an approach ensures that AI contributes to safeguarding Buddhist heritage for future generations while respecting its historical integrity, religious significance, and cultural diversity.
Suggested Citation
Ven. Hedeniye Sumedha, 2026.
"AI Integration in Buddhist Cultural Heritage: Preservation, Transmission and Ethical Pathways,"
International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(07), pages 2179-2194, July.
Handle:
RePEc:cvr:ijisrt:2026:07:ijisrt26jul896
DOI: https://doi.org/10.38124/ijisrt/26jul896
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvr:ijisrt:2026:07:ijisrt26jul896. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.com/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.