Financial Inclusion and Institutional Resilience in AI-Driven Islamic Finance: A Contract-Based Risk Governance Framework

The growing use of artificial intelligence (AI) in Islamic finance has complicated the allocation of responsibility when financing decisions depend on automated assessments. This study develops a conceptual governance framework by reconstructing the complementary functions of Kafalah, Wakalah, and rahn. Using a qualitative doctrinal-comparative approach, it examines the contracts individually and through three pairwise relationships, then maps their functions to AI-related risks and institutional controls. The analysis identifies Kafalah–rahn as a mechanism for coordinating guarantees and collateral, Kafalah–Wakalah for linking guarantee obligations with accountable delegation, and Wakalah–rahn for governing delegated collateral activities. These relationships inform a five-layer architecture covering contractual authority, contingent risk allocation, collateral risk mitigation, technological governance, and maqāṣid al-sharīʿah-based evaluation. An illustrative financing scenario shows how model validation, human oversight, decision traceability, and proportionate safeguards may operate together. The framework distinguishes responsible financial access from institutional resilience without assuming that either outcome follows automatically. Its contribution is conceptual, and practical effectiveness requires subsequent expert and institutional assessment.

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Publication Details

Journal
Electronic Integrated Computer Algorithm Journal
Published
2026-10-31
DOI
https://doi.org/10.62123/enigma.v4i1.243
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
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Financial Inclusion and Institutional Resilience in AI-Driven Islamic Finance: A Contract-Based Risk Governance Framework

Dudang Gojali, Sahidan Abdulmana, Egi Al Fansyah, Muharman Lubis et al.
1 links
Electronic Integrated Computer Algorithm Journal
Islamic Finance and Banking Studies
article

Financial Inclusion and Institutional Resilience in AI-Driven Islamic Finance: A Contract-Based Risk Governance Framework

Dudang Gojali, Sahidan Abdulmana, Egi Al Fansyah, Muharman Lubis, Iwan Setiawan
article en

Abstract

The growing use of artificial intelligence (AI) in Islamic finance has complicated the allocation of responsibility when financing decisions depend on automated assessments. This study develops a conceptual governance framework by reconstructing the complementary functions of Kafalah, Wakalah, and rahn. Using a qualitative doctrinal-comparative approach, it examines the contracts individually and through three pairwise relationships, then maps their functions to AI-related risks and institutional controls. The analysis identifies Kafalah–rahn as a mechanism for coordinating guarantees and collateral, Kafalah–Wakalah for linking guarantee obligations with accountable delegation, and Wakalah–rahn for governing delegated collateral activities. These relationships inform a five-layer architecture covering contractual authority, contingent risk allocation, collateral risk mitigation, technological governance, and maqāṣid al-sharīʿah-based evaluation. An illustrative financing scenario shows how model validation, human oversight, decision traceability, and proportionate safeguards may operate together. The framework distinguishes responsible financial access from institutional resilience without assuming that either outcome follows automatically. Its contribution is conceptual, and practical effectiveness requires subsequent expert and institutional assessment.

Electronic Integrated Computer Algorithm JournalVol. 4(1)
Fatoni University (TH), Sunan Gunung Djati State Islamic University Bandung (ID), Telkom University (ID)
Peace, justice, and strong institutions
Openalex Percentile: Top 4%
Islamic Finance and Banking Studies
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