A Survey on Trends and Challenges in AI-Powered Smart Contract Analysis

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AI-powered tools improve security analysis for smart contracts, addressing challenges in vulnerability detection and scalability.
Recent advancements in machine learning and deep learning enhance the auditing process for blockchain applications.
Review discusses existing frameworks and methodologies, comparing their effectiveness in securing smart contracts.
Challenges include dataset availability, generalization to new vulnerabilities, and the need for interpretability in AI results.

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Survey highlights AI applications and security challenges in smart contracts, suggesting future research directions.

Mogalayi et al. (2025) studied this question.

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