THE ROLE OF AI DETECTION TOOLS IN UPHOLDING ACADEMIC INTEGRITY: AN EVALUATION OF THEIR EFFECTIVENESS

Abstract

The increasing use of artificial intelligence (AI) in academic writing has raised concerns about academic integrity. AI tools like ChatGPT enable students to generate essays and research papers with ease, prompting universities to adopt AI detection tools such as Turnitin AI Detection, GPTZero, and ZeroGPT. However, the effectiveness and ethical implications of these tools remain debated. This study investigates the accuracy, limitations, and ethical concerns of AI detection in academic settings. Data were collected through semi-structured interviews and focus group discussions with educators, academic integrity officers, and postgraduate students. Thematic analysis revealed three key themes: (1) effectiveness of AI detection tools, including false positives, AI evasion techniques, and limitations in detection; (2) ethical concerns, such as algorithmic bias, student academic rights, and privacy risks; and (3) the shift from punitive detection methods to AI literacy education, emphasizing the need for policy development and AI ethics integration. The findings suggest that AI detection alone is insufficient due to inconsistencies and biases. A holistic approach is needed, combining enhanced detection tools, transparent policies, and AI literacy programs to promote responsible AI use. This study contributes to the ongoing discourse on AI and academic integrity, advocating for a balanced, ethical, and educational approach to AI-assisted writing in academia.