Students'perception of the use of AI Detector System by faculty members in determining the originality of submitted academic requirements

Abstract

Recent studies revealed an overwhelming concern about the misuse of generative Artificial Intelligence (AI) tools by students in completing academic requirements. The detection of AI-generated content using the naked eye was perceived to be difficult, hence the need for more accurate, reliable, and effective detection methods. As a countermeasure, educators are turning to AI content detectors and plagiarism checkers to ascertain the originality of submitted school requirements, raising concerns from students regarding the accuracy and reliability of these tools and the ethical implications and negative consequences of misclassification of genuinely original works as machine-generated outputs. By employing a holistic case study approach, the authors attempted to determine the perceptions of selected university students on the use of AI detection systems by faculty members in checking the originality and novelty of their academic outputs. Through the lenses of various normative ethical theories, the authors also analyzed the ethical issues and concerns raised by selected students to better understand their sentiments and the factors they believe could influence the faculty members' intention to adopt this emerging technology. The results of the study revealed that students have mixed attitudes and perceptions toward the faculty's intention to use AI detectors. While students perceived it as a means to encourage independent learning and critical thinking, they also expressed valid concerns regarding fairness, accuracy, and reliability, the impact on teacher-student trust, and the responsible use of the technology, among others. The participants also acknowledged the influence of other faculty members and the students' increasing dependence on AI as possible enablers of technology adoption while technological limitations, the teachers’ lack of technological skills, and age as perceived barriers. From an ethical view, the findings of the study highlighted the importance of transparency, fairness, privacy, and the need for a policy to regulate AI use.

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