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We conduct the first large-scale user study examining how users interact withan AI Code assistant to solve a variety of security related tasks acrossdifferent programming languages. Overall, we find that participants who hadaccess to an AI assistant based on OpenAI's codex-davinci-002 model wrotesignificantly less secure code than those without access. Additionally,participants with access to an AI assistant were more likely to believe theywrote secure code than those without access to the AI assistant. Furthermore,we find that participants who trusted the AI less and engaged more with thelanguage and format of their prompts (e.g. re-phrasing, adjusting temperature)provided code with fewer security vulnerabilities. Finally, in order to betterinform the design of future AI-based Code assistants, we provide an in-depthanalysis of participants' language and interaction behavior, as well as releaseour user interface as an instrument to conduct similar studies in the future.

Do Users Write More Insecure Code with AI Assistants?