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The Feasibility of Using Artificial Intelligence in Hadith Research

Mehmet Apaydın
10.34120/jsis.v40i140.3479 384 Views 3 Citations
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Abstract

This study examines the feasibility of using artificial intelligence (AI) in hadith research to identify areas within hadith sciences where AI can offer more efficient and reliable outcomes. The significance of the study lies in its exploration of the potential benefits and challenges of integrating AI into hadith scholarship, especially in addressing contemporary issues. It evaluates how AI could help tackle modern challenges in hadith studies and assesses the risks associated with AI-generated fabrications of hadiths, which may present new threats as AI becomes more widespread. The main problem addressed in this research is determining the feasibility of AI in hadith studies by identifying potential opportunities and risks. The primary objective is to provide current hadith scholars with a foundational understanding of AI's potential in this field while also identifying areas for future research. Methodologically, the study begins with a theoretical overview of AI’s core characteristics, particularly its capabilities in textual analysis and pattern recognition. This is followed by practical experiments using ChatGPT-4 to analyze hadith narrations. The study concludes that while AI has considerable potential in hadith research, particularly in preliminary evaluations and classifications, its current role is limited to imitating human intelligence and functioning within existing scholarly frameworks. The misuse of AI could result in the unintentional dissemination of fabricated hadiths, posing a significant threat to hadith scholarship. In the final evaluation, it is recommended that AI be viewed as a tool to support, rather than replace, human scholars in hadith studies.

Cite this Article (APA)
Mehmet, A. (2025). The Feasibility of Using Artificial Intelligence in Hadith Research. Journal of Sharia and Islamic Studies. https://doi.org/10.34120/jsis.v40i140.3479
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Published in
ISSN 1029-8908
Quartile Q4
AMS Score 31
Field Social Sciences
Publisher Academic Publication Council - Kuwa
Country 🇰🇼 Kuwait
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Publication Details
Year 2025
Language English/Arabic
Added 30 Jul 2026