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“人机共舞”写论文?“AI+组稿”岂能成造假捷径?
Ren Min Ri Bao· 2025-10-17 14:13
Core Viewpoint - The rise of "AI+稿件" (AI-assisted writing) has led to a new production model in the academic writing industry, characterized by a combination of AI and human efforts to produce papers quickly and efficiently, raising concerns about academic integrity and legality [1][2]. Group 1: AI and Human Collaboration - The "AI+组稿" model allows for the use of AI to handle data collection, literature review, and draft writing, while humans focus on correcting logical flaws and enhancing originality, creating a seemingly advantageous collaboration [1]. - This model has emerged as a response to the increasing demand for academic writing services, making it easier for individuals to access these services across various educational levels and fields [1]. Group 2: Legal and Ethical Concerns - The essence of the "AI+组稿" model involves AI and humans working together to produce content that may involve plagiarism or data fabrication, which contradicts the requirements for originality and violates legal standards [2]. - Despite regulations against academic misconduct, the demand for such services persists, with individuals finding ways to circumvent restrictions through various platforms [2][3]. Group 3: Regulatory Challenges - To effectively combat the underground industry, regulatory measures must extend beyond surface-level actions, utilizing AI algorithms for precise identification of violations and establishing a blacklist sharing mechanism [3]. - The existence of a "gray demand" for these services indicates deeper issues within academic evaluation systems, where some institutions still prioritize publication metrics over genuine research contributions [3][4]. Group 4: Need for Systemic Change - Addressing the root causes of the "唯论文" (paper-centric) evaluation mindset is crucial for dismantling the gray industry, as new models will continue to emerge if the underlying issues are not resolved [4]. - The integrity and future of scientific research in the country depend on creating a trustworthy and innovative environment, free from the influences of gray market practices [4].