Artificial Intelligence and Internal Audit Effectiveness in Islamic Financial Institutions: A Conceptual Paper

Abstract

Artificial Intelligence (AI) is transforming internal audit functions in financial institutions, offering capabilities such as predictive analytics, automated risk assessment, and real-time monitoring. In Islamic financial institutions (IFIs), integrating AI presents unique challenges and opportunities, particularly in aligning technological innovations with Shariah governance and ethical principles. Despite growing interest in AI applications, research on integrating AI into internal auditing for IFIs remains limited. This study proposes a conceptual framework illustrating the role of AI in enhancing internal audit effectiveness while ensuring compliance with Maqasid al-Shariah. The framework addresses key opportunities, including improved efficiency, fraud detection, and compliance monitoring, as well as conceptual challenges such as algorithmic bias, data privacy, and ethical accountability. The paper contributes to theory by extending audit and governance literature through the lens of digital transformation in Islamic finance. Practical implications are offered for regulators, Shariah boards, and internal auditors seeking to adopt AI responsibly. Future research directions include empirical validation of the proposed framework and cross-comparative studies with conventional financial institutions.