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Reading: AI’s Role in Transforming Smart Contract Audits Raises Questions of Liability and Security
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News

AI’s Role in Transforming Smart Contract Audits Raises Questions of Liability and Security

News Desk
Last updated: June 20, 2026 7:16 pm
News Desk
Published: June 20, 2026
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In a recent discussion on the future of smart contract development, industry experts have highlighted the transformative potential of artificial intelligence (AI) in enhancing security protocols. Urbelis pointed out that while traditional audit processes have often been hampered by high costs and complexity, the availability of sophisticated AI-driven security assessments could significantly change the landscape.

Historically, development teams could cite the financial burden of in-depth audits as a reason for forgoing them altogether. However, with AI tools now accessible at a fraction of the cost, that rationale may become increasingly untenable. Urbelis noted that if a concise AI-generated report is deemed inadequate, plaintiffs might argue that developers had the means to detect vulnerabilities but failed to do so. As such, the growing reliance on AI for security evaluations raises critical implications for the industry.

One pressing question is whether investors might begin to demand AI-driven security reviews as a prerequisite for funding projects. This shift could lead to a scenario where neglecting to perform AI-assisted audits is considered a form of negligence, potentially impacting the accountability of development teams.

Despite the promising capabilities of AI, both Urbelis and Schwed emphasized that technology is unlikely to supplant human auditors entirely. While machines are adept at uncovering coding errors, they fall short when it comes to identifying economic and incentive-based vulnerabilities, which have been central to some of the largest financial losses in the cryptocurrency sector. Urbelis argued that issues such as the intentional manipulation of contracts or exploitative designs require the insight and experience of human professionals.

Schwed reinforced this caution, suggesting that relying solely on AI tools without the capacity to critically evaluate their outputs could result in a misguided sense of security. He emphasized that a mere command to an AI system to perform an audit, without understanding the results, does not constitute a robust security strategy.

As the industry navigates these evolving dynamics, the interplay between human expertise and AI technology in smart contract audits will be critical in shaping effective security measures.

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