AIGC检测新规后的第一个毕业季

Core Viewpoint - The increasing use of AI tools in academic writing, particularly in thesis preparation, has led to varying regulations across universities in China, reflecting a broader global trend in higher education regarding AI integration [4][9][21]. Group 1: AI Usage in Academic Writing - Students are increasingly using AI tools for various stages of thesis writing, including content generation and language refinement, with reports indicating that nearly 60% of university faculty and students use generative AI frequently [7][8]. - Different universities have established distinct guidelines regarding AI usage in thesis writing, with some allowing limited use while others impose strict prohibitions [4][14][15]. - A notable case is the implementation of a guideline by Fudan University, which prohibits the use of AI for writing and language refinement, aiming to maintain academic integrity [8][10][14]. Group 2: Detection and Compliance Challenges - The effectiveness of AI detection systems is questioned, as discrepancies in detection results can occur, leading to confusion among students regarding compliance with university regulations [15][16][17]. - Some universities have set specific thresholds for AI-generated content in theses, such as a maximum of 20% for humanities and 15% for science and engineering, but enforcement varies significantly [15][16]. - Despite regulations, many students report that their universities do not strictly monitor AI usage, leading to a lack of clarity and potential non-compliance [16][17]. Group 3: Global Perspectives and Trends - Internationally, universities are grappling with how to integrate AI into educational frameworks, with some adopting flexible policies that allow AI as a supportive tool while others revert to traditional examination methods [20][21]. - The shift towards AI in education raises fundamental questions about the future of academic evaluation and the skills that educational institutions aim to cultivate in students [20][21]. - The ongoing debate highlights the need for a balanced approach to AI in education, focusing on enhancing creativity and independent thinking rather than fostering dependency on AI tools [9][18][21].