比论文查重更折磨，AI成了这届毕业生的噩梦

Core Viewpoint - The introduction of AIGC detection tools in universities to identify AI-generated content in graduation theses has led to significant frustration among students, as the tools often misidentify human-written content as AI-generated and vice versa [1][2][16]. Group 1: AIGC Detection Tools - Many universities have implemented AIGC detection to prevent students from using AI to write their theses, causing confusion and anxiety among students [1][2]. - Students have reported that their own writing is often flagged as AI-generated due to its professional tone, while actual AI-generated content may not be detected [2][4]. - The detection tools are powered by AI themselves, leading to a paradox where AI is used to identify AI-generated text [7][22]. Group 2: Accuracy and Reliability - The accuracy of these detection tools is questionable, with some tools having a detection accuracy as low as 26%, and even misclassifying classic literature as AI-generated [19][22]. - The detection process analyzes various linguistic features and compares them to AI writing patterns, but this method is not foolproof and can lead to erroneous conclusions [17][22]. - Different detection websites yield varying results for the same text, creating further confusion for students who are trying to ensure their work meets academic standards [26][28]. Group 3: Implications for Students - The requirement for AIGC detection adds financial burdens on students, as they must pay for these services in addition to traditional plagiarism checks [25][28]. - The focus on AI detection may detract from the actual quality and authenticity of the content, as students feel pressured to alter their writing styles to avoid detection [22][36]. - The educational goal of assessing students' understanding and problem-solving abilities may be undermined by an overemphasis on AI detection [30][31].