The proliferation of Generative Artificial Intelligence (GenAI) poses a growing threat to knowledge integrity in domains where information carries spiritual, legal, and communal authority. In Islamic knowledge contexts, AI-generated religious content may circulate without adequate verification, attribution, or epistemic accountability, yet existing international AI governance instruments do not operationalise the source-authority, provenance, and scholarly-verification requirements of Islamic knowledge. This conceptual study introduces Halal Knowledge Integrity (HKI), a proposed domain-specific governance framework designed to safeguard the authenticity, verifiability, contextual validity, traceability, ethical production, and institutional accountability of AI-mediated Islamic knowledge. A structured, concept-centric review across four domains, namely AI governance, knowledge integrity, Islamic epistemology, and halal assurance, was conducted to develop HKI through cross-domain gap analysis and iterative framework construction. The key output is a framework comprising ten governance principles and an eight-stage lifecycle ecosystem. The principal contribution is a theoretically grounded and implementation-oriented governance architecture that extends halal assurance logic from physical products to AI-mediated knowledge, advancing the field of halal science and management into the digital knowledge domain. Five propositions are advanced to guide future empirical validation of the framework
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Ismail, Saidatul Akmar UNSPECIFIED |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > Food industry and trade. Halal food industry. Certification T Technology > TS Manufactures > Production management. Operations management > Control of production systems > Quality control. Standards |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Academy of Contemporary Islamic Studies (ACIS) |
| Journal or Publication Title: | Journal of Halal Science and Management Research |
| UiTM Journal Collections: | UiTM Journals > Journal of Halal Science and Management Research (JHSMR) |
| ISSN: | 3093-8368 |
| Volume: | 2 |
| Number: | 2 |
| Page Range: | pp. 105-133 |
| Keywords: | AI Governance, Governance theory, Halal knowledge integrity, Information integrity, Islamic epistemology |
| Date: | 30 September 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/148094 |
148094.pdf
