The honest machine proposing a hybrid verification model for AI-assisted academic research

Muhammad, Muhd. Rosydi (2026) The honest machine proposing a hybrid verification model for AI-assisted academic research. KICT Newsletter: SPECTRUM, June 2026 (NA). pp. 4-7. E-ISSN 3083-9904

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Abstract

The integration of large language models (LLMs) in academic research offers significant efficiency gains but introduces critical risks, such as fabricated outputs or hallucinations. To safeguard research integrity, this paper proposes the Hybrid Verification Model, a three-stage sequential framework that synthesizes contemporary research ethics with classical Islamic scholarly methodologies. In Stage 1 (AI-Assisted Discovery), AI functions as a pattern-sensitive assistant to locate sources, translate texts, and map thematic landscapes, treating outputs strictly as preliminary leads rather than final findings. Next, Stage 2 (Human Validation — Tahqiq) requires researchers to maintain strict intellectual oversight by independently verifying every AI-generated claim and citation directly against primary sources. Finally, Stage 3 (Ethical Adjudication — Maqasid al-Shari'ah) evaluates validated findings against disciplinary norms and higher objectives to ensure the research serves human welfare through purposive moral reasoning. Ultimately, this model structures an iterative loop that reframes AI as a capable yet fundamentally unreliable first drafter requiring disciplined, morally conscious human engagement.

Item Type:	Article (Bulletin)
Uncontrolled Keywords:	Artificial Intelligence, ICT and Islam, Ethical Computing, Hybrid Verification Model
Subjects:	B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > BP190.5 Islamization of Knowledge BPC Science and Technology in Islam T Technology > T Technology (General) > T173.5 Technology and Islam
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Muhd Rosydi Muhammad
Date Deposited:	14 Jul 2026 15:23
Last Update:	14 Jul 2026 15:23
Queue Number:	2026-07-Q3963
URI:	http://irep.iium.edu.my/id/eprint/129786

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