降低论文AI率

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花钱给论文降“AI味儿”,灰色产业链盯上毕业生
3 6 Ke· 2025-05-29 23:26
Core Insights - The rise of AIGC detection for graduation theses has led to a new industry chain, with universities implementing AI content detection standards for students' papers [1][2] - Many students are using AI tools for various aspects of thesis writing, prompting universities to explore different AIGC detection requirements [2][3] - A gray market has emerged, where individuals and small agencies offer services to reduce AI content in theses, often at low prices [3][4] Group 1: AIGC Detection Implementation - Several universities, including Sichuan University and Beijing Normal University, have set limits on AI-generated content in theses, with humanities and social sciences capped at 20% and sciences at 15% [1] - Institutions like Fudan University require students to disclose the use of AI tools in their thesis commitment forms before defense [1][2] - The AIGC detection services are being offered alongside traditional plagiarism checks by academic websites such as CNKI, Weipu, and PaperPass [2][3] Group 2: Emergence of Gray Market - A significant number of students are turning to "降手" (AI reduction service providers) who charge around 10 yuan per 1000 characters to modify AI-detected content [4][6] - The market for these services has seen a surge, with many new entrants offering low-cost solutions, leading to a chaotic environment [10][11] - Some service providers are using AI tools themselves to modify texts, which raises questions about the effectiveness of these services [11][12] Group 3: Student Experiences and Challenges - Many students report dissatisfaction with the services, experiencing no reduction in AI detection rates or receiving poorly modified texts that distort original meanings [6][7] - The lack of objective metrics for AI content detection complicates the process, leading to confusion and frustration among students [7][8] - Students often face challenges in obtaining refunds or satisfactory service, as many providers operate on a low-cost model with minimal accountability [8][9]