ADVANTAGES AND DISADVANTAGES ARTIFICIAL INTELLIGENCE-BASED AUDIOVISUAL HISTORIOGRAPHY

Kelebihan dan Kekurangan Historiografi Audio-Visual Berbasis Kecerdasan Buatan

Authors

  • Daya Negri Wijaya Universitas Negeri Malang
  • Evania Yafie Universitas Negeri Malang
  • Primasa Minerva Nagari Universitas Negeri Malang
  • Firza Azzam Fadilla Universitas Negeri Malang
  • Muhammad 'Afwan Mufti Universitas Negeri Malang

DOI:

https://doi.org/10.36526/santhet.v10i4.8982

Keywords:

Artificial Intelligence (AI), historiography audio-visual, Historical Narratives, AI in the Humanities, Digital History

Abstract

This article explores the transformative potential of artificial intelligence (AI) in reshaping audiovisual historiography, a field that integrates historical inquiry with multimedia representation. This article employs a qualitative-descriptive approach to understand the strengths and limitations of applying artificial intelligence (AI) technology in audiovisual historiography. The primary data sources for this study are a comprehensive literature review of relevant scholarly articles and books, as well as data from the creation of short historical videos using the AI platform Invideo.Io. This article investigates how AI-based tools enable the curation, restoration, and reinterpretation of historical narratives. It also highlights key advancements in AI applications, including the automatic transcription of archival audiovisual material, deepfake-based reconstructions, and immersive virtual reconstructions of historical events. This article further examines the opportunities and challenges posed by these innovations. The findings indicate that AI technology can offer unprecedented accuracy, accessibility, and creative possibilities in historical storytelling. On the other hand, concerns regarding ethical misuse, historical distortion, and digital authenticity require a robust framework to ensure credibility and accountability. For example, the AI-generated historical videos from Invideo.Io have shortcomings related to accuracy and synchronization between visuals and factual narratives of historical events. The findings of this study illustrate that AI can democratize history and make it more accessible, provided that a robust ethical framework is in place. This article contributes to our understanding of how emerging technologies can shape the future of historical research and storytelling.

References

Allam, H., Dempere, J., Akre, V., & Flores, P. (2023). Artificial Intelligence in Education (AIED): Implications and Challenges. In A. Johnston, B. Pandya, H. Allam, K. Shah, N. Shammas, & N. Mohamed (Eds.), Proceedings of the HCT International General Education Conference (HCT-IGEC 2023) (Vol. 13, pp. 126–140). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-286-6_10

Baron, J. (2013). The Archive Effect: Found Footage and the Audiovisual Experience of History. Routledge. https://doi.org/10.4324/9780203066935

Birrer, A., & Just, N. (2025). What we know and don’t know about deepfakes: An investigation into the state of the research and regulatory landscape. New Media & Society, 27(12), 6819–6838. https://doi.org/10.1177/14614448241253138

Boden, M. A. (2016). AI: Its Nature and Future. Oxford University Press.

Braun, V., & Clarke, V. (2006). Using Thematic Analysis In Psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Casebourne, I., Shi, S., Hogan, M., Holmes, W., Hoel, T., Wegerif, R., & Yuan, L. (2025). Using AI to Support Education for Collective Intelligence. International Journal of Artificial Intelligence in Education, 35(3), 1597–1629. https://doi.org/10.1007/s40593-024-00437-7

Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: A Systematic Review of Research. TechTrends, 66(4), 616–630. https://doi.org/10.1007/s11528-022-00715-y

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Creswell, J. W. (2009). Research Design Qualitative, Quantitative, and Mixed Methods Approaches 4th (4th ed.). Pearson.

Dewi, I. S., & Pabbabari, M. (2026). Masa Depan Historiografi: Interdisipliner, Multikultural, Dan Global. Luxfia: Journal of Multidisciplinary Research, 1(01), 111–126.

Ebbrecht-Hartmann, T., Stiassny, N., & Henig, L. (2023). Digital visual history: Historiographic curation using digital technologies. Rethinking History, 27(2), 159–186. https://doi.org/10.1080/13642529.2023.2181534

Finn, F., & Khosrowi, D. (2026). AI Assistants In The Archive And The Lure of “Instant History.” Cambridge Forum on AI: Culture and Society, 2, e6. https://doi.org/10.1017/cfc.2025.10012

Frisch, M. (1989). American History and the Structures of Collective Memory: A Modest Exercise in Empirical Iconography. Journal of American History, 75(4), 1130–1155. https://doi.org/10.2307/1908633

Gottschalk, L. (1986). Mengerti sejarah. Penerbit Universitas Indonesia (UI-Press).

Jänicke, S., Franzini, G., Cheema, M. F., & Scheuermann, G. (2015). On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges. Eurographics Conference on Visualization (EuroVis) - STARs, 21 pages. https://doi.org/10.2312/EUROVISSTAR.20151113

Kenderdine, S. (2015). Embodiment, Entanglement, and Immersion in Digital Cultural Heritage. In A New Companion to Digital Humanities (pp. 22–41). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118680605.ch2

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539

Maharani, D., & Oktarianto, D. D. C. (2026). Artificial Intelligence in Notarial Practice: Legal Risks and Ethical Considerations: Kecerdasan Buatan dalam Praktik Kenotariatan: Risiko Hukum dan Pertimbangan Etis. Santhet (Jurnal Sejarah Pendidikan Dan Humaniora), 10(3), 992–1000. https://doi.org/10.36526/santhet.v10i3.8109

Marr, B. (2019). Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. John Wiley & Sons.

Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative Data Analysis: A Methods Sourcebook. SAGE Publications.

Mirsky, Y., & Lee, W. (2021). The Creation and Detection of Deepfakes: A Survey. ACM Computing Surveys (CSUR), 54(1), 7:1-7:41. https://doi.org/10.1145/3425780

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

Noble, S. U. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press. https://doi.org/10.2307/j.ctt1pwt9w5

Parry, R. (2007). Recoding the Museum: Digital Heritage and the Technologies of Change. Routledge. https://doi.org/10.4324/9780203347485

Ridhoi, R., Subekti, A., Navarro, F. M., & Hariyono. (2022). Embracing New Perspectives in History, Social Sciences, and Education (1st ed.). Routledge. https://doi.org/10.1201/9781003295273

Rokhmah, U. F., & Muzaiyana. (2024). Pengaruh Digitalisasi Sejarah dalam Bentuk Vidio Pendek Artificial Intelegence. Konferensi Nasional Mahasiswa Sejarah Peradaban Islam, 1, 276–286.

Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial Intelligence: A Modern Approach. Prentice Hall.

Schellnack-Kelly, I., & Modiba, M. (2025). Developing smart archives in society 5.0: Leveraging artificial intelligence for managing audiovisual archives in Africa. Information Development, 41(3), 626–641. https://doi.org/10.1177/02666669241286224

Setiadi, V. S., Haryadi, E., S, A. M. Y., & Murwonugroho, W. (2023). Distorsi Sejarah dan Persepsi Visual: Studi Kasus Animasi Pocahontas. Narada : Jurnal Desain dan Seni, 10(2), 173–184. https://doi.org/10.22441/narada.2023.v10.i2.004

Stanco, F., Battiato, S., & Gallo, G. (Eds.). (2017). Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks. CRC Press. https://doi.org/10.1201/b11049

Susianti, V. A. (2024). Media Pembelajaran Sejarah Melalui Video Animasi pada Layanan Audio Visual Perpustakaan Umum. Media Informasi, 33(2), Article 2. https://doi.org/10.22146/mi.v33i2.15910

Tui, D. M. (2026). Artificial Intelligence and the Future of Historical Research: Opportunities, Biases, and Ethical Challenges. Library of Frontline Social Sciences and History Journal, 6(06), 28–35.

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

Wijaya, D. N., Wahyudi, D. Y., Hudiyanto, R. R., Mufti, M. ’Afwan, & Fadilla, F. A. (2026). Masa Depan Historiografi Audio-visual: Studi Kritis Integrasi Artificial Intelligence (AI) dalam Audio-visual Perang Kuning di Lasem abad XVIII. Jurnal Pendidikan Sejarah, 15(1), 60–75. https://doi.org/10.21009/JPS.151.04

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995

Yoga, H., Muharam, D., & Muda, Y. E. (2024). Pengenalan Sejarah Dan AI Untuk Efisiensi Tugas Organisasi Di Sekolah Di Smk Bina Informatika: Pengenalan Sejarah Dan AI Untuk Efisiensi Tugas Organisasi Di Sekolah Di Smk Bina Informatika. Junal Abdirahma, 1(1), 60–64.

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Published

2026-08-06

How to Cite

Wijaya, D. N., Yafie, E., Nagari, P. M., Fadilla, F. A., & Mufti, M. ’Afwan. (2026). ADVANTAGES AND DISADVANTAGES ARTIFICIAL INTELLIGENCE-BASED AUDIOVISUAL HISTORIOGRAPHY: Kelebihan dan Kekurangan Historiografi Audio-Visual Berbasis Kecerdasan Buatan. Santhet (Jurnal Sejarah Pendidikan Dan Humaniora), 10(4), 1707–1719. https://doi.org/10.36526/santhet.v10i4.8982

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