Oman Memory CenterScholarly paper archive

Employing Artificial Intelligence in Reconstructing Scenes from the Prophetic Biography: An Applied Study in Digital Models

Tawẓīf al-Dhakāʼ al-Iṣṭināʻī fī Iʻādat Bināʼ Mashāhid al-Sīrah al-Nabawīyah: Dirāsah Taṭbīqīyah fī al-Namādhij al-Raqmīyah

توظيف الذكاء الاصطناعي في إعادة بناء مشاهد السيرة النبوية - دراسة تطبيقية في النماذج الرقمية

Hazzāʻ ibn Jumʻah ibn Khamīs al-Bakkārī
د. هزاع بن جمعة بن خميس البكاري
Conference: The Tenth International Conference: The Prophetic Biography (Sīrah) in the Omani Heritage — Kuala Lumpur, 2026
Romanized conference title: al-Muʼtamar al-Duwalī al-ʻĀshir: al-Sīrah al-Nabawīyah fī al-Turāth al-ʻUmānī
Language of the paper: Arabic — this page presents the English metadata layer.
Permanent citation ID: MHF-SIRA2026-019

Abstract

This research treats the possibility of employing artificial intelligence to reconstruct selected scenes from the Prophetic biography within educational and documentary digital models, with emphasis on an explicit separation between the historical event, the narration that transmits it, and the visual representation produced by machine. The study proceeds from the position that a generated image does not constitute independent historical evidence but is a probabilistic output whose scholarly value rests entirely on the discipline of its inputs and its review. The research uses the descriptive-analytical method to define concepts, opportunities and risks; the critical method in ordering the sources of a biographical scene; and the applied method in building a procedural model for the route of the Prophetic emigration. It proposes a matrix of degrees of certainty, a documentation card to accompany each scene, a register of interpretive decisions, and a mechanism for multidisciplinary review. It also shows how the model may be transferred to subjects connected with the Omani heritage, foremost among them the Prophetic letters to the people of Oman and the routes by which Islam entered the country.

Keywords

Artificial intelligenceProphetic biographyDigital reconstructionHistorical evidenceDocumentation standardsDigital heritage

How to cite

Bakkārī, Hazzāʻ ibn Jumʻah ibn Khamīs. "Tawẓīf al-Dhakāʼ al-Iṣṭināʻī fī Iʻādat Bināʼ Mashāhid al-Sīrah al-Nabawīyah: Dirāsah Taṭbīqīyah fī al-Namādhij al-Raqmīyah" [Employing Artificial Intelligence in Reconstructing Scenes from the Prophetic Biography: An Applied Study in Digital Models]. Paper presented at al-Muʼtamar al-Duwalī al-ʻĀshir: al-Sīrah al-Nabawīyah fī al-Turāth al-ʻUmānī, Kuwālā Lumbūr, 2026. MHF-SIRA2026-019

Catalog record

Romanization follows the ALA-LC Arabic table used by the Library of Congress and the British Library. The original Arabic is carried in the parallel MARC 880 fields, linked by subfield $6 — the standard treatment for non-English resources.

Show the MARC 21 record
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=520  3\$aThis research treats the possibility of employing artificial intelligence to reconstruct selected scenes from the Prophetic biography within educational and documentary digital models, with emphasis on an explicit separation between the historical event, the narration that transmits it, and the visual representation produced by machine. The study proceeds from the position that a generated image does not constitute independent historical evidence but is a probabilistic output whose scholarly value rests entirely on the discipline of its inputs and its review. The research uses the descriptive-analytical method to define concepts, opportunities and risks; the critical method in ordering the sources of a biographical scene; and the applied method in building a procedural model for the route of the Prophetic emigration. It proposes a matrix of degrees of certainty, a documentation card to accompany each scene, a register of interpretive decisions, and a mechanism for multidisciplinary review. It also shows how the model may be transferred to subjects connected with the Omani heritage, foremost among them the Prophetic letters to the people of Oman and the routes by which Islam entered the country.
=546  \\$aText in Arabic; title also romanized (ALA-LC); abstract and keywords in English.
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=653  \0$aHistorical evidence
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