Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AI
arXiv:2606.16629v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for knowledge-intensive question answering, including religious and legal questions. Islamic knowledge is a particularly demanding setting: answers are expected to be grounded in authoritative sources, citations must be exact, Arabic varieties differ substantially from the language of classical sources, and legitimate jurisprudential disagreement must be represented rather than collapsed into a single answer. This survey reviews the emerging field of Islamic LLMs and trustworthy Islamic AI. We or
The increasing sophistication and widespread use of LLMs for knowledge-intensive tasks, including religious and legal domains, necessitates focused research into their application, particularly in sensitive cultural and religious contexts like Islam.
This development highlights the imperative for culturally and religiously nuanced AI, crucial for adoption and avoiding misinformation in large global populations, and points to the fragmentation of AI models along ideological or cultural lines.
The focus shifts from general-purpose LLMs to specialized, context-aware AI models that prioritize accuracy, trustworthiness, and cultural grounding tailored to specific religious or legal frameworks, rather than a one-size-fits-all approach.
- · Islamic academics and researchers
- · Developers of specialized LLMs
- · Muslim communities seeking reliable AI applications
- · AI ethics and bias research institutions
- · Developers of unspecialized, 'Western-centric' LLMs seeking global adoption
- · Sources of unverified religious information
- · AI models prone to hallucination in sensitive domains
Increased development and adoption of specialized, culturally-aligned LLMs within religious and legal sectors.
Potential for new avenues of cultural diplomacy or conflict arising from the perceived trustworthiness or bias of such AI systems.
The emergence of 'sovereign AI' initiatives within distinct cultural or religious blocs, leading to a more fragmented global AI landscape.
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