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Do Users Write More Insecure Code with AI Assistants? (chaos.social)

submitted 7 months ago by [email protected] to c/[email protected]

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cross-posted from: https://programming.dev/post/8121843

~n (@[email protected]) writes:

This is fine...

"We observed that participants who had access to the AI assistant were more likely to introduce security vulnerabilities for the majority of programming tasks, yet were also more likely to rate their insecure answers as secure compared to those in our control group."

[Do Users Write More Insecure Code with AI Assistants?](https://arxiv.org/abs/2211.03622?

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[–] [email protected] 58 points 7 months ago* (last edited 7 months ago) (14 children)

I think this is extremely important:

Furthermore, we find that participants who trusted the AI less and engaged more with the language and format of their prompts (e.g. re-phrasing, adjusting temperature) provided code with fewer security vulnerabilities.

Bad programmers + AI = bad code

Good programmers + AI = good code

[–] [email protected] 27 points 7 months ago (1 children)

LLMs amplify biases by design, so this tracks.

[–] Aurenkin 5 points 7 months ago (1 children)

What do you mean? Sounds to me like any other tool, it takes skill to use it well. Same as stack overflow, built in code suggestions or IDE generated code.

Not to detract from the usefulness of it just in terms of the fact that it requires knowledge to use well.

[–] [email protected] 1 points 7 months ago

As someone currently studying machine learning thoery and how these models are built, I'm explaining that built into the models at their core are functions that amplify the bias of the training data by identifying and using mathematical associations within the training data to create output. Because of that design, a naive approach to its use would result in amplified bias of not only the training data but also the person using the tool.

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