This article investigates the transformative impact of Artificial Intelligence (AI) on the study of the Holy Quran, highlighting the intersection between Islamic theology, computer science, and linguistics. AI technologies, particularly Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning, are increasingly employed to analyse Quranic texts in innovative ways, enhancing traditional exegesis (tafsir), semantic interpretation, and linguistic pattern recognition. Through qualitative content analysis and case study approaches, this paper examines how AI enhances Quranic translation, accessibility, and educational applications, while also addressing the ethical, epistemological, and theological challenges that arise from its use. The findings reveal that AI not only supplements traditional scholarly frameworks but also democratises Quranic knowledge by improving accessibility for diverse linguistic and cognitive communities. However, the study emphasises the need for ethical guidelines and interdisciplinary collaboration to maintain theological integrity and avoid interpretive misuse. AI, when guided by Islamic ethical principles and scholarly oversight, can serve as a powerful tool for augmenting human understanding of the Quran. This paper proposes a balanced integration of AI in Quranic studies, positioning it as a support mechanism that enhances, rather than replaces, the profound human engagement with the sacred text.
Farhana et al. (Sat,) studied this question.
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