مجلة الدراسات التنموية وريادة الأعمال
Volume 4, Numéro 2, Pages 01-17
2026-09-01
Authors : دكتور علي محمد العراقي .
Artificial intelligence is transforming risk management and regulatory compliance within the financial sector, leading prominent regulators, including the United States Department of the Treasury and the central banks of the Gulf, to release a new set of AI-specific governance directives in 2025 and 2026. This paper conducts a qualitative, descriptive-analytical, and comparative analysis of the transformation, focusing on the United States' Financial Sector AI Risk Management Framework (FS AI RMF) and the United Arab Emirates Central Bank's 2026 AI guidance note, complemented by case studies from BNP Paribas (France) and Emirates NBD (UAE). Four hypotheses are proposed and evaluated through qualitative pattern-matching against the gathered evidence: that AI is transitioning compliance from a reactive to a proactive framework; that dependence on opaque "black box" models increases regulatory risk; that a regulatory disparity exists between the UAE and Saudi Arabia in AI governance; and that a principles-based regulatory approach, as opposed to comprehensive prescriptive legislation, currently dominates globally. All four hypotheses are supported by the reviewed material, with Hypothesis Three specifically focused on the UAE-Saudi comparison rather than the broader Arab area. The study indicates that the UAE is becoming a regional regulatory standard akin to prominent Western agencies, whilst the remainder of the Arab area is in a preliminary phase of this evolution, concluding with suggestions for tracking this progression in the future.
AI-Driven Compliance ; risk management ; explainability ; algorithmic bias
ربيح ثامر
.
بن ناصر وهيبة
.
ص 1186-1215.
Siham Rahmani
.
pages 51-86.
Taibi Boumedyen
.
Tahi Abderrahmane
.
Djebouri Mohamed
.
pages 1-15.
Hocini Roumaissa
.
Kaddouri Amar
.
pages 87-110.