MOSE Shorts - 15: Don't Make These Mistakes When Using AI

Did you know that you will need to spend more time and effort doing code reviews before using AI-generated code?

AI is heavily utilized in work environments already, it enhances efficiency and productivity. But, it can also be an increased risk factor in your company or open source project, if you are not careful.

In this MOSE Short segment, Aeva Black, Ildiko and Phil talk about the risks that come with using AI, if people try to cut corners and trust the tool blindly. For example, have you ever merged code in a rush? You might know the person who submitted it, or it looked good at the first glance and you didn't have the time to dig deeper into it. While humans also make mistakes, when you know someone's work you have some reassurance that they will keep the quality standards that you are used to. We often trust machines the same way, as we are used to the deterministic output that most tools produce. AI, however, while it is a tool, you cannot predict the output it is creating and you also cannot trust it. Aeva describes an example where there was a security vulnerability hidden in the otherwise good looking, AI-generated code. The group also discusses further social implications of using AI to generate email responses or convincing, but fake content.

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