Core Viewpoint - The increasing reliance on AI-generated content detection in universities has led to significant challenges for students, as many AI detection tools and "AI rate reduction" software have proven ineffective, often resulting in higher AI content scores after usage [1][2][3]. Group 1: Student Experiences - Students have reported that using AI rate reduction software often leads to increased AI content scores and higher plagiarism rates, contrary to their expectations [1][2]. - Specific cases highlight that students have spent money on these tools, only to find their papers returned as unqualified due to high AI content scores [2][3]. - The inconsistency in AI detection results across different platforms has caused confusion and frustration among students, leading to multiple revisions and additional costs [3][4]. Group 2: Detection Methodology - AI detection models assess content based on indicators like "perplexity" and "burstiness," with AI-generated text typically exhibiting smoother patterns compared to the more variable nature of human writing [4][5]. - Current detection methods are not foolproof, with a significant risk of false positives, indicating that the accuracy of AI content detection remains low [5][6]. - Experts suggest that while AI can assist in content generation, reliance on it for academic writing undermines academic integrity and may lead to issues of plagiarism [5][6]. Group 3: Academic Integrity - The use of AI in writing is viewed as a potential violation of academic integrity, with many institutions having clear policies against such practices [5][6]. - Faculty members are often able to discern AI-generated content during thesis defenses, emphasizing the importance of genuine understanding and engagement with the material by students [6].