用“AI率”对论文“一票否决”科学吗

Group 1 - The core viewpoint of the articles revolves around the challenges and implications of using "AI rate" as a criterion for evaluating academic papers, highlighting the potential for misjudgment and the limitations of AI detection systems [1][2][3] - Several universities have implemented regulations linking the proportion of AI-generated content in graduation theses to their acceptance, aiming to prevent academic misconduct [1] - The detection systems analyze text features such as vocabulary frequency, sentence structure, and logical expression to determine similarity with AI-generated content, but this approach is flawed due to the inherent similarities between AI-generated and human-written academic texts [1][2] Group 2 - Controversies surrounding "AI rate" detection reflect the broader challenges faced by education in the era of technological transformation, where reliance on AI detection may lead to superficial modifications in original works [2] - Academic committees are deemed the ultimate authority in evaluating the authenticity of student work, as educators possess a deeper understanding of students' capabilities and research processes [2] - The focus should be on fostering independent thinking and innovative ideas in students rather than merely producing texts that pass AI detection [3]