Muhammad Ihza Fazrian
Universitas Islam Internasional Indonesia

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Between Machines and the Tafsīr Tradition: Reorienting Tafsīr bi al-Ma’ṡūr in the Age of Computational Interpretation Saifullah; Soleh Hasan Wahid; Muhammad Ihza Fazrian
Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Vol. 27 No. 2 (2026): Juli
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/qh.v27i1.7499

Abstract

This study examines authority and attribution in Qur’anic interpretation mediated by artificial intelligence. The phrase fī sabīlillāh in Q 9:60 serves as a test case because its meaning has been disputed since the earliest period, its transmission is layered, and its implications extend to zakat distribution. The same interpretive question was submitted to seven mainstream language models and assessed through tafsīr bi al-ma’ṡūr, understood as an evaluative hermeneutic centered on traceable attribution, isnād, tarjīḥ, and fidelity to sources. Interpretations by al-Ṭabarī, al-Qurṭubī, and Ibn Kaṡīr provided the basis for an analytic rubric. Two raters independently evaluated 28 model responses and reconciled their judgments through consensus, producing 248 audited error findings. Although the models generally identified the three exegetes and their works, they performed poorly in preserving isnād, narration structure, citation accuracy, and attribution. Unsupported additions and shifts of meaning dominated the errors. Higher-performing models produced more polished answers but did not eliminate source-level failures. The findings indicate that greater model capacity alone cannot secure credible machine-mediated tafsir; verification must restore the attributional discipline of tafsīr bi al-ma’ṡūr.