Artificial Intelligence in Islamic Studies: Exploring Opportunities and Addressing Challenges

Muhammad Mehmood; Imran Khan Keerio; Muhammad Husnain

Authors

Muhammad Mehmood Lecturer (Visiting), Faculty of Sharī’ah and Law, International Islamic University Islamabad
Imran Khan Keerio Lecturer, Department of Computer Science and Technology, Sindh Madressatul Islam University, Karachi, Pakistan.
Muhammad Husnain PhD Research Scholar, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia (IIUM)

Abstract

The integration of Artificial Intelligence (AI) with Islamic studies represents a transformative advancement in religious scholarship and education. This research examines the implementation of AI applications in Islamic studies while addressing the inherent challenges and ethical considerations this integration presents. Through a systematic literature review and analysis of documented case studies, we investigate the current state of AI implementation in Islamic scholarship and propose a framework for its responsible adoption. Our findings indicate that while AI offers substantial opportunities for advancing Islamic studies through enhanced text analysis (achieving 85% accuracy in classical Arabic processing), personalized learning (showing 30% improvement in student engagement), and digital preservation, careful consideration must be given to maintaining religious authenticity and cultural sensitivity. The study contributes to the growing discourse on technology in religious studies and provides practical guidelines for implementing AI while preserving Islamic scholarly traditions.