Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best assessment practices regarding this new area of potential plagiarism. As it becomes increasingly difficult to discern between well-written assignments produced by students and those that have been generated by AI, educators may turn to AI-detection programs to determine whether work submitted by students is in fact their own. However, these programs notoriously return a high rate of false detection of AI-generated text. This phenomenon leads to the increased likelihood that students will be unfairly academically penalized. In this study, hand-written examinations for a university-level introductory academic writing class were submitted to different AI-detection programs. Results indicate an association between higher exam grades and greater false detection of AI-generated writing. These results suggest that educators must carefully consider the benefits of such programs when assessing students' work. [For the complete proceedings, see ED672804.]