Chinese_Universities_Crack_Down_on_AI_Use_in_Academic_Writing

Chinese Universities Crack Down on AI Use in Academic Writing

As artificial intelligence (AI) tools like DeepSeek become more sophisticated, their use in academic writing among university students in China is on the rise. While these tools offer valuable assistance, concerns about overreliance and misuse are prompting universities to implement stricter regulations.

A recent survey conducted by MyCOS, encompassing over 3,000 university faculty and students, revealed that nearly 60 percent of respondents use generative AI tools daily or multiple times a week. Among students, approximately 30 percent primarily rely on AI for writing papers or assignments, with some admitting to directly copying and pasting AI-generated content.

University professors and experts have expressed worries about academic misconduct extending beyond mere text generation. Issues such as falsifying research data, editing experimental images, and substituting original design work with AI-generated content are becoming increasingly prevalent.

In response to these challenges, many Chinese universities are establishing clear guidelines on the acceptable use of AI tools. For instance, Fudan University recently issued policies prohibiting the use of AI in research design, data collection, image creation, thesis writing, and handling confidential content. Violating these guidelines could result in failing grades and impact degree eligibility.

Similarly, Tianjin University of Science and Technology introduced AI-generated content detection measures in undergraduate theses last year, setting a maximum AI content threshold of 40 percent—a policy that will remain in effect for 2025 graduates.

To combat academic fraud effectively, multiple research teams in China are developing advanced AI detection technologies. As AI continues to evolve, these anti-detection methods must also advance to maintain their effectiveness.

Beyond technological solutions, experts advocate for improved academic evaluation systems and enhanced AI literacy among students. Huang Yating, a researcher at Zhejiang University's School of Education, suggests prioritizing higher-order thinking skills in assessments. \"AI can replace repetitive and standardized tasks,\" Huang said. \"Professors should design assignments that AI cannot easily replicate and encourage collaboration with AI rather than full reliance on it.\"

Leave a Reply

Your email address will not be published. Required fields are marked *

Back To Top