AI and Big Data in Islamic Financial Risk Management
Keywords:
Artificial Intelligence; Big Data; Risk Management; Islamic Finance; Explainable AIAbstract
The development of digital technology has driven significant transformations in risk management within the financial sector, including Islamic finance. The integration of Artificial Intelligence (AI) and Big Data enables financial institutions to conduct risk analysis more quickly, accurately, and data-driven, while also supporting compliance with Sharia principles. This research aims to systematically examine the application of AI and Big Data in Islamic financial risk management and identify the challenges and directions for its development. The method used is a Systematic Literature Review (SLR) of relevant scientific publications from the period 2020–2025. The study results indicate that the utilization of AI and Big Data can improve the accuracy of financing risk prediction, strengthen fraud detection, and enhance the efficiency of Sharia compliance monitoring thru automated transaction and contract analysis. However, the implementation of this technology still faces a number of challenges, particularly regarding ethical issues, data security and privacy, potential algorithmic bias, and limitations in the transparency of AI models. Therefore, this research proposes a conceptual framework that integrates Explainable AI (XAI) and data governance based on the principles of maqasid al-shariah. The contribution of this research lies in its effort to bridge digital technology innovation with Sharia values in order to support transparent, accountable, and sustainable Sharia financial risk management.
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