The Role of AI in Smart Contract Verification

Automating Trust and Security on Blockchain Networks

Authors

  • Emily Carter Associate Professor, Department of Computer Science, University of Cambridge, Cambridge, UK Author

Keywords:

Artificial Intelligence, smart contracts, verification, compliance, security, natural language processing

Abstract

The proliferation of blockchain technology has ushered in a new era of decentralized applications, notably through the use of smart contracts. However, the automated execution of these contracts poses significant challenges regarding trust and security. This paper investigates the role of artificial intelligence (AI) in automating the verification of smart contracts on blockchain platforms. By employing AI models, it becomes possible to enhance the accuracy of contract verification, ensuring compliance and mitigating security risks associated with automated execution. This study highlights various AI methodologies, such as machine learning and natural language processing, that can be integrated into the smart contract lifecycle. The findings reveal that AI-driven approaches not only streamline the verification process but also establish a more secure and trustworthy environment for blockchain applications. Ultimately, this research underscores the necessity of integrating AI in smart contract verification to foster confidence in automated transactions.

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Published

18-09-2024

How to Cite

[1]
Emily Carter, “The Role of AI in Smart Contract Verification: Automating Trust and Security on Blockchain Networks”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 102–108, Sep. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/170

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