学者三年田野调查被判AI代笔，论文AI率检测如何避免“误伤”？

Core Viewpoint - The rapid development of AI technology has led to an increase in the ability of AI to generate academic papers, raising concerns in the academic and educational sectors regarding the detection of AI-generated content in student theses [1]. Group 1: AI Detection Issues - Some universities require students' theses to not only pass plagiarism checks but also to be evaluated for AI-generated content (AIGC), with a threshold of 15% AI detection rate [1][4]. - A case was reported where a student's thesis was flagged with a significantly higher AI detection rate on a subsequent check, despite being the same document, indicating potential inconsistencies in detection systems [1][4]. - The AI detection tools have been criticized for misidentifying original content as AI-generated, leading to unnecessary revisions and additional costs for students [4][5]. Group 2: Academic Concerns - A professor from Renmin University expressed frustration when their original research, developed over three years, was flagged as "highly suspected of being AI-generated" by a detection platform [5][6]. - The general consensus among academics is that while plagiarism detection is reliable, AI detection tools are problematic and should not be used as strict criteria for assessing academic integrity [6][8]. - There is a growing concern that the standards for determining whether a paper is AI-generated are still vague, making it difficult to accurately assess the originality of academic work [8][9]. Group 3: Recommendations for Universities - Experts suggest that universities should avoid making AI detection a mandatory graduation requirement and instead focus on guiding students in the appropriate use of AI tools in their research [8][9]. - The transition towards integrating AI in academic research is seen as inevitable, with future evaluations of academic ability likely shifting towards how effectively individuals can collaborate with AI [9].