The Transformation of Quranic Studies in the Era of Artificial Intelligence: An Epistemological Shift from Classical Scientific Tradition to the Digital Ecosystem
DOI:
https://doi.org/10.64691/d45aj033Keywords:
Quranic Studies, Artificial Intelligence, Digital Interpretation, Knowledge Authority, Classical ScienceAbstract
The development of artificial intelligence as a digital knowledge infrastructure has fundamentally changed the landscape of contemporary Quranic studies. Unlike previous approaches that tended to position technology as an assistive instrument, the integration of AI in the form of semantic search engines, natural language processing, and interpretation recommendation systems presents epistemological issues that have not been systematically studied, particularly regarding the shift in knowledge sources, truth validation mechanisms, and the configuration of interpretive subjects within the Quranic scholarly tradition. This study aims to critically analyze the epistemological transformation of Quranic studies from a classical scientific framework to an AI-based digital ecosystem, focusing on the reconstruction of knowledge authority, changes in interpretive methodology, and the restructuring of subject-knowledge relations. This study uses a qualitative method with an epistemological-critical approach, analyzing the latest academic literature in the field of Quranic studies and technology, as well as a conceptual review of concrete practices of AI utilization in digital Quranic studies. The results show that the integration of AI triggers a multidimensional epistemological shift, namely: first, the reconstruction of knowledge sources from the authority of scholars and texts to an aggregative algorithmic database; Second, the transformation of interpretive methodology from in-depth, discipline-based reading to rapid, computationally-assisted analysis; Third, the shift in truth validation mechanisms from scientific consensus to technological and statistical verification; Fourth, the emergence of new epistemic subjects that do not fully fall within the framework of conventional scholars or academics. These findings emphasize that AI is epistemologically non-neutral and forms a new logic of knowledge production that demands theoretical reformulation in the epistemology of contemporary Quranic studies.
References
Abdlkarim, D., Di Luca, M., Aves, P., Maaroufi, M., Yeo, S.-H., Miall, R. C., Galea, J. M. (2023). A methodological framework to assess the accuracy of virtual reality hand-tracking systems: A case study with the Meta Quest 2. Behavior Research Methods, 56(2), 1052–1063. https://doi.org/10.3758/s13428-022-02051-8 DOI: https://doi.org/10.3758/s13428-022-02051-8
Al-Masduqi, H. S. F., Matkur, & Mustajab. (2025). The Existence Of Ulama In The Digital Era: A Framing Analysis Of Gus Miftah’s Misspeaking Using Robert Entman’s Model. AJIS: Academic Journal of Islamic Studies, 10(1), 79–98. https://doi.org/10.29240/ajis.v10i1.12972 DOI: https://doi.org/10.29240/ajis.v10i1.12972
Alaimo, C., & Kallinikos, J. (2022). Organizations Decentered: Data Objects, Technology and Knowledge. Organization Science, 33(1), 19–37. https://doi.org/10.1287/orsc.2021.1552 DOI: https://doi.org/10.1287/orsc.2021.1552
Ali, R., & Isnaini, S. N. (2024). Digitising Interpretation: Transforming Tafsir Al-Mishbah in the Context of the Living Quran. Jurnal Studi Ilmu-Ilmu Al-Qur’an Dan Hadis, 25(1), 1–23. https://doi.org/10.14421/qh.v25i1.5186 DOI: https://doi.org/10.14421/qh.v25i1.5186
Alvarado, R. (2023). AI as an Epistemic Technology. Science and Engineering Ethics, 29(5), 32. https://doi.org/10.1007/s11948-023-00451-3 DOI: https://doi.org/10.1007/s11948-023-00451-3
Andok, M. (2024). The Impact of Online Media on Religious Authority. Religions, 15(9), 1103. https://doi.org/10.3390/rel15091103 DOI: https://doi.org/10.3390/rel15091103
Badawy, A. A. (2025). Topic Discovery in the Digital Quran: A Text Mining Approach. Journal of Information Systems Engineering and Management, 10(18), 642–649. https://doi.org/10.52783/jisem.v10i18s.2976 DOI: https://doi.org/10.52783/jisem.v10i18s.2976
Bashir, M. H., Azmi, A. M., Nawaz, H., Zaghouani, W., Diab, M., Al-Fuqaha, A., & Qadir, J. (2023). Arabic natural language processing for Qur’anic research: a systematic review. Artificial Intelligence Review, 56(7), 6801–6854. https://doi.org/10.1007/s10462-022-10313-2 DOI: https://doi.org/10.1007/s10462-022-10313-2
Carlsen, H. B., & Ralund, S. (2022). Computational grounded theory revisited: From computer-led to computer-assisted text analysis. Big Data & Society, 9(1), 1–16. https://doi.org/10.1177/20539517221080146 DOI: https://doi.org/10.1177/20539517221080146
Chukhanov, S., & Kairbekov, N. (2024). The importance of a semantic approach in understanding the texts of the Holy Quran and Sunnah. Pharos Journal of Theology, 105(3), 1–11. https://doi.org/10.46222/pharosjot.105.36 DOI: https://doi.org/10.46222/pharosjot.105.36
Ciapparelli, M., Zarbo, C., & Marelli, M. (2025). Conceptual Combination in Large Language Models: Uncovering Implicit Relational Interpretations in Compound Words With Contextualized Word Embeddings. Cognitive Science, 49(3), e70048. https://doi.org/10.1111/cogs.70048 DOI: https://doi.org/10.1111/cogs.70048
Dong, J. (2024). Natural Language Processing Pretraining Language Model for Computer Intelligent Recognition Technology. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 1–12. https://doi.org/10.1145/3605210 DOI: https://doi.org/10.1145/3605210
Garcia, M. (2021). Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning. Computational Linguistics, 47(3), 699–701. https://doi.org/10.1162/coli_r_00410 DOI: https://doi.org/10.1162/coli_r_00410
Gonzalez, V. (2023). Phenomenology of Quranic Corporeality and Affect: A Concrete Sense of Being Muslim in the World. Religions, 14(7), 827. https://doi.org/10.3390/rel14070827 DOI: https://doi.org/10.3390/rel14070827
Hohenstein, J., Kizilcec, R. F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Jung, M. F. (2023). Artificial intelligence in communication impacts language and social relationships. Scientific Reports, 13(1), 5487. https://doi.org/10.1038/s41598-023-30938-9 DOI: https://doi.org/10.1038/s41598-023-30938-9
Holford, W. D. (2019). The future of human creative knowledge work within the digital economy. Futures, 105, 143–154. https://doi.org/10.1016/j.futures.2018.10.002 DOI: https://doi.org/10.1016/j.futures.2018.10.002
Huriadi, M. D., Ahmad, L. T., & Hamim, N. (2024). Qur’anic Perspectives On Knowledge And Knowledge Seekers: Perspektif Al-Quran Tentang Ilmu Dan Penuntut Ilmu. Civilization Research: Journal of Islamic Studies, 3(2), 258–274. https://doi.org/10.61630/crjis.v3i2.34 DOI: https://doi.org/10.61630/crjis.v3i2.34
Ibrahim, M. (2024). Islam in the digital infrastructure: the rise of Islamic cyber practices in Northern Nigeria. Religion, State and Society, 52(2–3), 114–132. https://doi.org/10.1080/09637494.2024.2353956 DOI: https://doi.org/10.1080/09637494.2024.2353956
Istianah, & Salman, A. M. Bin. (2025). Study of Analytical Controversy of Hermeneutics in the Method of Interpretation of the Qur’an. LECTURES: Journal of Islamic and Education Studies, 4(1), 1–24. https://doi.org/10.58355/lectures.v4i1.68 DOI: https://doi.org/10.58355/lectures.v4i1.68
Laila, A. N., Rahmawati, A., Azizah, N., & Chasanah, M. (2023). Empowering in Using the Al-Qur’an Application for Tahfiz as Learning Media in Islamic Boarding Schools. Amalee: Indonesian Journal of Community Research and Engagement, 4(1), 157–167. https://doi.org/10.37680/amalee.v4i1.2397 DOI: https://doi.org/10.37680/amalee.v4i1.2397
Longino, H. E. (2022). What’s Social about Social Epistemology? The Journal of Philosophy, 119(4), 169–195. https://doi.org/10.5840/jphil2022119413 DOI: https://doi.org/10.5840/jphil2022119413
Lopez, P. (2023). Power and Resistance in the Twitter Bias Discourse. 2023 ACM Conference on Fairness, Accountability, and Transparency, 603–603. New York, NY, USA: ACM. https://doi.org/10.1145/3593013.3594027 DOI: https://doi.org/10.1145/3593013.3594027
Machen, R., & Nost, E. (2021). Thinking algorithmically: The making of hegemonic knowledge in climate governance. Transactions of the Institute of British Geographers, 46(3), 555–569. https://doi.org/10.1111/tran.12441 DOI: https://doi.org/10.1111/tran.12441
Malhas, R., & Elsayed, T. (2022). Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT. Information Processing & Management, 59(6), 103068. https://doi.org/10.1016/j.ipm.2022.103068 DOI: https://doi.org/10.1016/j.ipm.2022.103068
Melis, G. (2023). Normative Defeaters and the Alleged Impossibility of Mere Animal Knowledge for Reflective Subjects. Philosophia, 51(4), 2065–2083. https://doi.org/10.1007/s11406-023-00658-5 DOI: https://doi.org/10.1007/s11406-023-00658-5
Minh, D., Wang, H. X., Li, Y. F., & Nguyen, T. N. (2022). Explainable artificial intelligence: a comprehensive review. Artificial Intelligence Review, 55(5), 3503–3568. https://doi.org/10.1007/s10462-021-10088-y DOI: https://doi.org/10.1007/s10462-021-10088-y
Mohd Yunus, M. A., Mustapha, A., Iqbal, R., & Samsudin, N. A. (2017). An Ontological Approach towards Dialoguebased Information Visualization System: Quran Corpus for Juz’ Amma. MATEC Web of Conferences, 135, 1–9. https://doi.org/10.1051/matecconf/201713500070 DOI: https://doi.org/10.1051/matecconf/201713500072
Ortmann, J. (2025). Of opaque oracles: epistemic dependence on AI in science poses no novel problems for social epistemology. Synthese, 205(2), 80. https://doi.org/10.1007/s11229-025-04930-x DOI: https://doi.org/10.1007/s11229-025-04930-x
Ozdemir, Z. M., & Yapici, E. (2025). Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry. Journal of Esthetic and Restorative Dentistry, 37(7), 1740–1752. https://doi.org/10.1111/jerd.13447 DOI: https://doi.org/10.1111/jerd.13447
Papakostas, C. (2025). Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives. Religions, 16(5), 563. https://doi.org/10.3390/rel16050563 DOI: https://doi.org/10.3390/rel16050563
Rahmani, A. M., Azhir, E., Ali, S., Mohammadi, M., Ahmed, O. H., Yassin Ghafour, M., … Hosseinzadeh, M. (2021). Artificial intelligence approaches and mechanisms for big data analytics: a systematic study. PeerJ Computer Science, 7, e488. https://doi.org/10.7717/peerj-cs.488 DOI: https://doi.org/10.7717/peerj-cs.488
Ramadhani, R., Nasution, I. F. A., Faza, A. M., Armainingsih, A., & Harahap, A. P. (2025). Semantic Analysis of the Synonymity of the Meaning of Khatama and Ṭaba’a in the Quran: Contextual Relevance for Contemporary Interpretation Studies. Al Qalam: Jurnal Ilmiah Keagamaan Dan Kemasyarakatan, 19(3), 1618. https://doi.org/10.35931/aq.v19i3.4482 DOI: https://doi.org/10.35931/aq.v19i3.4482
Ranaldi, L., & Pucci, G. (2023). Knowing Knowledge: Epistemological Study of Knowledge in Transformers. Applied Sciences, 13(2), 677. https://doi.org/10.3390/app13020677 DOI: https://doi.org/10.3390/app13020677
Rolnik, Z. (2024). The Impact of Artificial Intelligence on Academic Research. Universal Library of Innovative Research and Studies, 1(1), 9–11. https://doi.org/10.70315/uloap.ulirs.2024.0101002 DOI: https://doi.org/10.70315/uloap.ulirs.2024.0101002
Rott, B. (2021). Inductive and deductive justification of knowledge: epistemological beliefs and critical thinking at the beginning of studying mathematics. Educational Studies in Mathematics, 106(1), 117–132. https://doi.org/10.1007/s10649-020-10004-1 DOI: https://doi.org/10.1007/s10649-020-10004-1
Saeed, A., & Akbar, A. (2021). Contextualist Approaches and the Interpretation of the Qur’ān. Religions, 12(7), 527. https://doi.org/10.3390/rel12070527 DOI: https://doi.org/10.3390/rel12070527
Talbott, W. J. (2020). Is epistemic circularity a fallacy? Philosophical Studies, 177(8), 2277–2298. https://doi.org/10.1007/s11098-019-01310-3 DOI: https://doi.org/10.1007/s11098-019-01310-3
Toraman, C., Yilmaz, E. H., Şahi̇nuç, F., & Ozcelik, O. (2023). Impact of Tokenization on Language Models: An Analysis for Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(4), 1–21. https://doi.org/10.1145/3578707 DOI: https://doi.org/10.1145/3578707
Tsemach, E., Schwarz, B., Israeli, M., & Keynan, O. (2023). Advancing group epistemic practices in the resolution of interdisciplinary societal dilemmas. Dialogic Pedagogy: An International Online Journal, 11(3), 119–148. https://doi.org/10.5195/dpj.2023.551 DOI: https://doi.org/10.5195/dpj.2023.551
Túñez-López, J.-M., Fieiras-Ceide, C., & Vaz-Álvarez, M. (2021). Impact of Artificial Intelligence on Journalism: transformations in the company, products, contents and professional profile. Communication & Society, 34(1), 177–193. https://doi.org/10.15581/003.34.1.177-193 DOI: https://doi.org/10.15581/003.34.1.177-193
UNESCO. (2025). UNESCO survey: Two-thirds of higher education institutions have or are developing guidance on AI use. Retrieved from https://www.unesco.org/en/articles/unesco-survey-two-thirds-higher-education-institutions-have-or-are-developing-guidance-ai-use
Universities, I. A. of. (2025). Universities and AI: Insights from the IAU Global Survey at UNESCO’s Digital Learning Week 2025. Retrieved from https://iau.global/news/universities-and-ai-insights-from-the-iau-global-survey-at-unescos-digital-learning-week-2025
Villalobos Antúnez, J. V., Guerrero Lobo, J. F., Caldera Ynfante, J. E., & Ramírez Molina, R. I. (2022). Perspectives Of Critical Epistemology: The Fundamental Question About A New Science. Novum Jus, 16(3), 161–187. https://doi.org/10.14718/NovumJus.2022.16.3.7 DOI: https://doi.org/10.14718/NovumJus.2022.16.3.7
Vomberg, A., de Haan, E., Etienne Fabian, N., & Broekhuizen, T. (2024). Digital knowledge engineering for strategy development. Journal of Business Research, 177, 114632. https://doi.org/10.1016/j.jbusres.2024.114632 DOI: https://doi.org/10.1016/j.jbusres.2024.114632
Whyte, S. A. (2022). Islamic Religious Authority in Cyberspace: A Qualitative Study of Muslim Religious Actors in Australia. Religions, 13(1), 69. https://doi.org/10.3390/rel13010069 DOI: https://doi.org/10.3390/rel13010069
Yüksel, N., Börklü, H. R., Sezer, H. K., & Canyurt, O. E. (2023). Review of artificial intelligence applications in engineering design perspective. Engineering Applications of Artificial Intelligence, 118, 105697. https://doi.org/10.1016/j.engappai.2022.105697 DOI: https://doi.org/10.1016/j.engappai.2022.105697
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