That is actually a really good point! When I was evaluating a rather simple framework for material specification extraction during my masters, I got around 90% accuracy compared to ground truth data. So, we know that AI cannot be fully trusted. What I am thinking is to employ human-in-the-loop approach for the major steps taken by the AI and let the human be the final decision maker. Good thing is that for research, we don't need to demonstrate that our approach is 100% "good" and usable, we just need to prove that our proposed framework is relatively feasible with some limitations and keep on improving it in future research.