GenAI-Based Reconstruction of Prehistoric Remains

Simple item page
dc.contributor.authorBarceló, Juan A.en_US
dc.contributor.authorTzerpou, Endoxiaen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T20:33:49Z
dc.date.available2025-09-05T20:33:49Z
dc.date.issued2025
dc.description.abstractGenerative artificial intelligence (GenAI) has emerged as a powerful tool in various fields, including archaeology. However, its application in reconstructing prehistoric archaeology presents unique challenges and limitations that warrant careful consid-eration. Realizing the potential of Generative Artificial Intelligence to archaeological reconstruction requires a nuanced ap-proach that acknowledges and addresses the inherent limitations of AI in this context. The "black box" nature of some AI algorithms can make it difficult to understand how reconstructions are generated. This lack of transparency poses challenges for scientific reproducibility and peer review in archaeological research. By adopting a theoretical framework that combines technological innovation with rigorous archaeological methodology and ethical considerations, we can work towards more accurate, inclusive, and responsible reconstructions of prehistoric societies. This framework not only addresses the current limitations of AI in prehistoric archaeology but also sets the stage for future research directions. As AI technology continues to evolve, ongoing critical evaluation and adaptation of these approaches will be essential to ensure that generative AI becomes a valuable tool in expanding our knowledge of prehistoric human societies while respecting the complexity and cultural sensi-tivity of archaeological interpretation.en_US
dc.description.sectionheadersAI and Generative Techniques for Heritage Reconstruction
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253011
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253011
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253011
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectI.4.5. Reconstruction (Image Processing). J.5. Computer Applications. Arts and Humanities. K.4 Computers and So-ciety. General
dc.subjectI.4.5. Reconstruction (Image Processing).
dc.subjectJ.5. Computer Applications. Arts and Humanities. K.4 Computers and So
dc.subjectciety. General
dc.titleGenAI-Based Reconstruction of Prehistoric Remainsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dh20253011.pdf
Size:
856.66 KB
Format:
Adobe Portable Document Format
Download
Collections
Track 06 – Visualization and Interaction