Over the past decade, technologies have evolved drastically, but one aspect that remains constant is human testers' interaction with them. The same holds true for AI. To train the AI, we need good input-output combinations, which we call training data sets. We need to choose a training data set carefully, as the AI starts learning from it and creating relationships based on what we give to it. It is also important to monitor how the AI is learning as we give it different training data sets because this is going to be vital to how the software is going to be tested.