How Not to Get “Poisoned” by AI and Stay a QA Engineer

AI in QA is used by almost everyone today. The question is no longer whether to use it, but what actually happens next. In practice, AI most often produces a result that is neither bad nor good, but simply “okay”. It can be taken and used as is — and that is exactly where the problems begin.

In this talk, we’ll discuss why such results are more dangerous than obvious mistakes, what kind of “residue” accumulates in an engineer when working with AI on a constant basis, and how to set personal working boundaries so that AI doesn’t replace thinking, but remains a tool.