Universities Update Plagiarism Detection, Ban AI-Generated Core Arguments or Risk Degrees

As generative AI becomes more deeply embedded, academic institutions are quickly redefining the boundaries of "AI assistance."
Recently, several universities—including the University of Science and Technology of China, the Jiangsu University Medical School, and the Hebei Institute of Environmental Engineering—have issued official notices to regulate the use of AI tools in graduate and undergraduate theses. This represents a shift from simple plagiarism checks toward precise compliance with AI-generated content in academic originality reviews.
Clear Red Lines: Core Ideas Must Be "Human-Originated"
While major universities have not fully banned AI, they have imposed strict restrictions on the core sections of papers. According to a notice from the Graduate School of the University of Science and Technology of China, AI tools must be used under the "human-led, AI-assisted" principle. The following content is explicitly prohibited from being generated by AI:
Core Elements: The core ideas and research conclusions of the paper.
Technical Approach: Research methods and the design of research plans.
Original Data: It is strictly prohibited to use AI to generate or alter original data or original result images.
Graded Management: Which Sections Permit "AI Assistance"?
While tightening controls on core sections, some universities have also allowed reasonable use of AI assistance. The Academic Affairs Office of the Hebei Institute of Environmental Engineering stated in its document that students may use AI within the following compliant scope:
Preparation Phase: Literature searching and data collection.
Visual Aid: Assistance in creating charts and graphs related to the paper.
Language Polishing: Assisting with text formatting and grammar correction (subject to each university's specific regulations).
New Normal in Academic Integrity: Transparency and Controllability
The Medical School of Jiangsu University emphasized in its notice that AI tools should be used following the "auxiliary, transparent, and controllable" principle. This means that in the future, students may need to proactively declare the scope of AI usage when submitting their papers to ensure the authenticity and reliability of the research process.
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As generative AI becomes more deeply embedded, academic institutions are quickly redefining the boundaries of "AI assistance."
Recently, several universities—including the University of Science and Technology of China, the Jiangsu University Medical School, and the Hebei Institute of Environmental Engineering—have issued official notices to regulate the use of AI tools in graduate and undergraduate theses. This represents a shift from simple plagiarism checks toward precise compliance with AI-generated content in academic originality reviews.
Clear Red Lines: Core Ideas Must Be "Human-Originated"
While major universities have not fully banned AI, they have imposed strict restrictions on the core sections of papers. According to a notice from the Graduate School of the University of Science and Technology of China, AI tools must be used under the "human-led, AI-assisted" principle. The following content is explicitly prohibited from being generated by AI:
Core Elements: The core ideas and research conclusions of the paper.
Technical Approach: Research methods and the design of research plans.
Original Data: It is strictly prohibited to use AI to generate or alter original data or original result images.
Graded Management: Which Sections Permit "AI Assistance"?
While tightening controls on core sections, some universities have also allowed reasonable use of AI assistance. The Academic Affairs Office of the Hebei Institute of Environmental Engineering stated in its document that students may use AI within the following compliant scope:
Preparation Phase: Literature searching and data collection.
Visual Aid: Assistance in creating charts and graphs related to the paper.
Language Polishing: Assisting with text formatting and grammar correction (subject to each university's specific regulations).
New Normal in Academic Integrity: Transparency and Controllability
The Medical School of Jiangsu University emphasized in its notice that AI tools should be used following the "auxiliary, transparent, and controllable" principle. This means that in the future, students may need to proactively declare the scope of AI usage when submitting their papers to ensure the authenticity and reliability of the research process.
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