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A Forward-Looking Vision to Employ Artificial Intelligence to Preserve Cultural Heritage

Received: 17 January 2024     Accepted: 30 January 2024     Published: 11 September 2024
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Abstract

The study aimed to build a forward-looking vision for employing artificial intelligence in preserving cultural heritage, preserving cultural heritage, principles, values, customs and traditions, in light of globalization, technological progress and the dissolution of cultural identity and cultural heritage, through analyzing and reviewing previous research, studies and educational literature during the years (2022/2023). To ensure an integrated forward-looking therapeutic vision according to clear steps to achieve the targeted use of artificial intelligence applications and the sustainability of cultural heritage for future generations. The current study differs from previous studies in the study methodology, as it adopts the analytical approach, and based on previous studies and the theoretical framework, the two researchers built the proposed forward-looking vision for employing artificial intelligence in preserving cultural heritage. This vision included 11 fields that were as follows: digitization, preservation, restoration and preservation, language. Translation, documentation of cultural heritage, archaeological discoveries, virtual and augmented reality, preservation of oral traditions, crowdsourcing data, ethical considerations, global cooperation, education and awareness. In light of the results, the study recommends strengthening cooperation between institutions concerned with preserving cultural heritage and bodies specialized in the field artificial intelligence. This aims to exchange experiences and knowledge and coordinate efforts to apply artificial intelligence in this field. It also recommends developing standards and ethics for the use of artificial intelligence in the field of cultural heritage preservation. This is to ensure the responsible and ethical use of this technology.

Published in Humanities and Social Sciences (Volume 12, Issue 5)

This article belongs to the Special Issue Contemporary Challenges to Protect Cultural Heritage Nationally and Internationally

DOI 10.11648/j.hss.20241205.12
Page(s) 109-114
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Cultural Heritage, Forward-Looking Vision

References
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[3] Pansoni, S., Tiribelli, S., Paolanti, M., Stefano, F. D., Frontoni, E., Malinverni, E. S., & Giovanola, B. (2023). Artificial Intelligence And Cultural Heritage: Design And Assessment of An Ethical Framework. Gottingen: Copernicus GmbH.
[4] Der-Lor, W., & Yu-Hsien, W. (2023). Use of cloud-based virtual reality in chinese glove puppetry to preserve intangible cultural heritage. Applied Sciences, 13(9), 5699.
[5] Croce, V., Caroti, G., Piemonte, A., De Luca, L., & Véron, P. (2023). H-BIM and artificial intelligence: Classification of architectural heritage for semi-automatic scan-to-BIM reconstruction. Sensors, 23(5), 2497.
[6] Zhang, B., & Nurul, H. R. (2023). Research on artificial intelligence in new year prints: The application of the generated pop art style images on cultural and creative products. Applied Sciences, 13(2), 1082.
[7] Lee, B. C. G. (2023). Human-AI interaction for exploratory search & recommender systems with application to cultural heritage (Order No. 30526266). Available from ProQuest Dissertations & Theses Global. (2838582962). Retrieved from
[8] Abdelhak Belhi, et. al., “Digital Heritage Enrichment through Artificial Intelligence and Semantic Web Technology”, 4th International Conference on Communication and Information Systems (ICCIS), IEEE Explorer,
[9] Abdelhak Belhi, et. al., “Machine Learning and Digital Heritage: The CEPROQHA Project Prospective”, Advances in Intelligent Systems and Computing book series (AISC, volume 1027), Pp 363-374, 2020.
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[11] Dongming Lu, Yunhe Pan, “The Basis of Digital Technologies in Cultural heritage preservation”, Digital Preservation for Heritages, Pp 9-34, 2010.
[12] Fabio Abbattista, Luciana Bordoni, Giovanni Semeraro, “Artificial Intelligence for Cultural Heritage and Digital Libraries”, Applied Artificial Intelligence, Pp. 681-686,
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  • APA Style

    Eyadah, H. T. A., Odaibat, A. A. (2024). A Forward-Looking Vision to Employ Artificial Intelligence to Preserve Cultural Heritage. Humanities and Social Sciences, 12(5), 109-114. https://doi.org/10.11648/j.hss.20241205.12

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    ACS Style

    Eyadah, H. T. A.; Odaibat, A. A. A Forward-Looking Vision to Employ Artificial Intelligence to Preserve Cultural Heritage. Humanit. Soc. Sci. 2024, 12(5), 109-114. doi: 10.11648/j.hss.20241205.12

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    AMA Style

    Eyadah HTA, Odaibat AA. A Forward-Looking Vision to Employ Artificial Intelligence to Preserve Cultural Heritage. Humanit Soc Sci. 2024;12(5):109-114. doi: 10.11648/j.hss.20241205.12

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  • @article{10.11648/j.hss.20241205.12,
      author = {Heba Tawfiqe Abu Eyadah and Anas Adnan Odaibat},
      title = {A Forward-Looking Vision to Employ Artificial Intelligence to Preserve Cultural Heritage
    },
      journal = {Humanities and Social Sciences},
      volume = {12},
      number = {5},
      pages = {109-114},
      doi = {10.11648/j.hss.20241205.12},
      url = {https://doi.org/10.11648/j.hss.20241205.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hss.20241205.12},
      abstract = {The study aimed to build a forward-looking vision for employing artificial intelligence in preserving cultural heritage, preserving cultural heritage, principles, values, customs and traditions, in light of globalization, technological progress and the dissolution of cultural identity and cultural heritage, through analyzing and reviewing previous research, studies and educational literature during the years (2022/2023). To ensure an integrated forward-looking therapeutic vision according to clear steps to achieve the targeted use of artificial intelligence applications and the sustainability of cultural heritage for future generations. The current study differs from previous studies in the study methodology, as it adopts the analytical approach, and based on previous studies and the theoretical framework, the two researchers built the proposed forward-looking vision for employing artificial intelligence in preserving cultural heritage. This vision included 11 fields that were as follows: digitization, preservation, restoration and preservation, language. Translation, documentation of cultural heritage, archaeological discoveries, virtual and augmented reality, preservation of oral traditions, crowdsourcing data, ethical considerations, global cooperation, education and awareness. In light of the results, the study recommends strengthening cooperation between institutions concerned with preserving cultural heritage and bodies specialized in the field artificial intelligence. This aims to exchange experiences and knowledge and coordinate efforts to apply artificial intelligence in this field. It also recommends developing standards and ethics for the use of artificial intelligence in the field of cultural heritage preservation. This is to ensure the responsible and ethical use of this technology.
    },
     year = {2024}
    }
    

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    AU  - Heba Tawfiqe Abu Eyadah
    AU  - Anas Adnan Odaibat
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    AB  - The study aimed to build a forward-looking vision for employing artificial intelligence in preserving cultural heritage, preserving cultural heritage, principles, values, customs and traditions, in light of globalization, technological progress and the dissolution of cultural identity and cultural heritage, through analyzing and reviewing previous research, studies and educational literature during the years (2022/2023). To ensure an integrated forward-looking therapeutic vision according to clear steps to achieve the targeted use of artificial intelligence applications and the sustainability of cultural heritage for future generations. The current study differs from previous studies in the study methodology, as it adopts the analytical approach, and based on previous studies and the theoretical framework, the two researchers built the proposed forward-looking vision for employing artificial intelligence in preserving cultural heritage. This vision included 11 fields that were as follows: digitization, preservation, restoration and preservation, language. Translation, documentation of cultural heritage, archaeological discoveries, virtual and augmented reality, preservation of oral traditions, crowdsourcing data, ethical considerations, global cooperation, education and awareness. In light of the results, the study recommends strengthening cooperation between institutions concerned with preserving cultural heritage and bodies specialized in the field artificial intelligence. This aims to exchange experiences and knowledge and coordinate efforts to apply artificial intelligence in this field. It also recommends developing standards and ethics for the use of artificial intelligence in the field of cultural heritage preservation. This is to ensure the responsible and ethical use of this technology.
    
    VL  - 12
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