AI lacks the innate ability to grasp the broader context of a research study. It operates based on patterns and data it has been trained on, without a deeper understanding of the underlying purpose or objectives of the research.

Consider a scenario in user research where a participant provides feedback on a mobile banking app, stating, "The transfer feature is confusing." Human researchers, understanding the context of the study, might follow up with questions and steps to uncover specifics, such as which step in the process was unclear. However, AI, lacking contextual understanding, may interpret this comment at face value, potentially leading to a general recommendation to improve the transfer feature without delving into the specific pain points. So, always have a human in the loop to review and validate AI-generated insights.