Artificial Intelligence in Cultural Heritage Restoration: Ethics, Authenticity, and Reconstructive Limits

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DOI https://doi.org/10.55923/kirana.v5i1.1
Maya Lubis 1 , Eko Susanto 2 , Dewi Firmansyah 3 , Farhan Nugroho 4 , Arif Purnomo 5
1, 2, 3, 4, 5Research Center for Informatics, National Research and Innovation Agency (BRIN)
1 maya.lubis@brin.go.id , 2 eko.susanto@brin.go.id , 3 dewi.firmansyah@brin.go.id , 4 farhan.nugroho@brin.go.id , 5 arif.purnomo@brin.go.id

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Generative deep neural networks can inpaint and reconstruct severely damaged ancient stone bas-reliefs and manuscripts. However, algorithmic hallucination risks inventing fictitious historical details. This paper proposes ethical curation frameworks governing AI-assisted cultural reconstruction without compromising historiographical authenticity.
Issue Vol. 5 No. 1 (2026)
Section Articles
Pages 279-292
Published 2026-03-15

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