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The Concept of Human Dignity Within the Framework of Permission (al-idhn) in Islamic Jurisprudence (96565)

Session Information: MediAsia/KAMC2025 | Social Media and Communication Technology
Session Chair: Charles Meadows

Thursday, 6 November 2025 14:25
Session: Session 3
Room: Room C (4F)
Presentation Type:Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study investigates the role of artificial intelligence (AI) in advancing research within the domains of Islamic culture and jurisprudence, with particular attention to its applications in interpretation (tafsir), Hadith studies, and fiqh (Islamic legal theory). The research aims to outline appropriate usage frameworks for AI in religious contexts and to assess its capability in accurately responding to complex Sharia-related inquiries, thereby advocating for a synergistic collaboration between AI developers and Islamic scholars. Employing a descriptive qualitative methodology, the study formulates and explores a series of critical questions surrounding the integration of AI in Islamic sciences. It is structured into two main sections: The first provides a comprehensive overview of AI technologies, highlighting their relevance and transformative potential in educational environments. The second section critically assesses the effectiveness and limitations of AI in delivering context-sensitive and theologically sound responses to religious queries. Findings indicate that while AI demonstrates potential in supporting Islamic research, it currently falls short in providing the depth, nuance, and authenticity required by scholars in the field. This shortcoming underscores the necessity of interdisciplinary collaboration, wherein Sharia scholars actively contribute to the development and refinement of AI systems to ensure alignment with Islamic epistemological and ethical principles. The study concludes by recommending the systematic development of AI tools tailored specifically for Islamic sciences, emphasizing the importance of embedding Sharia-based knowledge structures into AI models to enhance their reliability and scholarly utility.

Authors:
Khawla Almulla, King Faisal University, Saudi Arabia
Rana Musa, University of Damascus, Syria


About the Presenter(s)
Dr Khawla Almulla is a University Assistant Professor/Lecturer at King Faisal University in Saudi Arabia

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00