< Winter Conference 2024
Winter Conference 2024 Workshop
The Role of AI in Preserving Cultural Heritage
The coexistence of fear and hope is an inseparable feature of almost every new technology. Amongst all the technologies, today, Artificial Intelligence (AI) and techniques such as Machine Learning (ML) and Deep Learning (DL) are with no doubt in the midst of scrutiny. Like many other organisations, Cultural Heritage Institutions (CHIs) benefit from the applications of AI in various ways and for different goals. One of the focuses of using AI in CHIs is to preserve cultural heritage. Research studies such as Muhathir et al. (2023) argue that AI has the potential to enable tools that can help preserve cultural heritage. Using the applications of AI however, involves considerable complexity in different aspects and raises critical questions: How can AI-based tools and applications assist in preserving cultural heritage? In what way can CHIs derive advantage from this? Who would benefit from the preservation of cultural heritage? In this workshop –“The role of AI in preserving cultural heritage”, we will delve into this topic more deeply together and form a discussion around it.
The workshop is split into two sections, where in the first half the focus is on the introduction of relevant concepts around the topic and in the second half the time will be spent on team work on case studies and a final discussion.
While no formal requirements are needed, participants are warmly welcome to familiarise themselves with the topic by browsing this short reading list:
Muhathir , Nurul Khairina, Rehia Karenina Isabella Barus, Mutammimul Ula and Ilham Sahputra, “Preserving Cultural Heritage Through AI: Developing LeNet Architecture for Wayang Image Classification” International Journal of Advanced Computer Science and Applications(IJACSA), 14(9), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140919
Marchello, G., Giovanelli, R., Fontana, E., Cannella, F., & Traviglia, A. (2023). CULTURAL HERITAGE DIGITAL PRESERVATION THROUGH AI-DRIVEN ROBOTICS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 995-1000. https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-995-2023
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