AI and Islamic Finance
Abstract
Artificial intelligence is reshaping financial analysis, institutional decision-making and service provision, however the evolution of its uses in Islamic finance is still not sufficiently consolidated. The study examines the publication trends, main contributors and conceptual structure of AI research in Islamic finance. The search for terms related to artificial intelligence and Islamic finance was conducted in Scopus on 7 September 2026. Following period, language, document-type, and relevance screening, 264 journal articles and conference papers published in 2016–2026 were analyzed through bibliometric performance analysis and science mapping. The dataset consisted of 744 authors and 165 sources with an annual publication growth rate of 28.56%. The findings indicate a shift from decision support systems, data mining, neural networks and efficiency prediction to machine learning, fintech, blockchain, digital transformation, ethical technology and Shariah governance. The core conceptual basis of the field consists of artificial intelligence, Islamic finance, machine learning, Islamic banking and fintech. However, author collaboration and specialized themes are still fragmented. Future research should explore explainable and generative AI, institutional performance, algorithmic governance, financial inclusion and Shariah-compliant ethical frameworks using longitudinal and cross-country designs. This study offers an integrated knowledge map and research agenda for the responsible development of AI-enabled Islamic monetary systems. Keywords: artificial intelligence; Islamic finance; Islamic banking; machine learning; fintech; bibliometric analysis; science mapping.
