This review identifies AI's critical role in decentralized finance, demonstrating its effectiveness in fraud detection and smart contract security.
This systematic review comprehensively reviews the growing field of Decentralized Finance (DeFi) and the transformative role of Artificial Intelligence (AI) within it. The study outlines a methodology guided by PRISMA, which led to the selection of 39 peerreviewed papers for analysis. The primary application areas of AI in DeFi are identified, encompassing fraud detection, smart contract security, market prediction, credit risk assessment, and governance. The review synthesizes key findings regarding various AI techniques and their demonstrated effectiveness, while also addressing emerging trends and potential challenges. The analysis indicates that AI is not merely an auxiliary tool but an indispensable component for addressing the inherent vulnerabilities and complexities of a permissionless, immutable financial system. The capacity of AI for pattern recognition, anomaly detection, and predictive analytics within dynamic, high-volume data streams is presented as a necessary element for building trust and stability in this novel financial paradigm. This paper concludes by discussing the overall implications for future research, emphasizing the critical enabling role of AI in the evolution of DeFi.
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Ataei et al. (2025) studied this question.
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