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Between Machines and the Tafsīr Tradition: Reorienting Tafsīr bi al-Ma’ṡūr in the Age of Computational Interpretation

Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis · Vol. 27 No. 2 (2026) · hlm. 458–493

DOI
10.14421/qh.v27i1.7499
ISSN
2548-4737, 1411-6855
Terbit
2026-08-04
Penerbit
UIN Sunan Kalijaga Yogyakarta
Bahasa
en
Lisensi
creativecommons.org/licenses/by-nc-nd/4.0

Abstrak

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.

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  • Hasanuddin University
  • Universitas Islam Negeri Kiai Ageng Muhammad Besari Ponorogo
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Dody PriosambodoAfiliasi tidak diketahui1
Dody PriosambodoHasanuddin University1
AmbengAfiliasi tidak diketahui1
Islah MadjidAfiliasi tidak diketahui1
Lukman SantosoUniversitas Islam Negeri Kiai Ageng Muhammad Besari Ponorogo1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.uin-suka.ac.id/ushuluddin/alquran/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Between Machines and the Tafsīr Tradition: Reorienting Tafsīr bi al-Ma’ṡūr in the Age of Computational Interpretation</dc:title>
	<dc:creator xml:lang="en">Saifullah</dc:creator>
	<dc:creator xml:lang="en">Wahid, Soleh Hasan</dc:creator>
	<dc:creator xml:lang="en">Fazrian, Muhammad Ihza</dc:creator>
	<dc:subject xml:lang="en">tafsīr bi al-ma’ṡūr</dc:subject>
	<dc:subject xml:lang="en">interpretive authority</dc:subject>
	<dc:subject xml:lang="en">source attribution</dc:subject>
	<dc:subject xml:lang="en">fī sabīlillāh</dc:subject>
	<dc:subject xml:lang="en">language models</dc:subject>
	<dc:description xml:lang="en">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.</dc:description>
	<dc:publisher xml:lang="en">UIN Sunan Kalijaga Yogyakarta</dc:publisher>
	<dc:date>2026-08-04</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.uin-suka.ac.id/ushuluddin/alquran/article/view/7499</dc:identifier>
	<dc:identifier>10.14421/qh.v27i1.7499</dc:identifier>
	<dc:source xml:lang="en">Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis; Vol. 27 No. 2 (2026): Juli; 458-493</dc:source>
	<dc:source>2548-4737</dc:source>
	<dc:source>1411-6855</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ejournal.uin-suka.ac.id/ushuluddin/alquran/article/view/7499/2785</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Saifullah, Soleh Hasan Wahid, Muhammad Ihza Fazrian</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>