内蒙古师范大学学报(教育科学版)

生成式人工智能进入教育领域后带来了诸多便利，然而利用生成式人工智能进行论文代写、考试作弊等不当行为也屡次被曝光，对学术诚信造成了严重的负面影响，多所高校引入人工智能生成内容检测系统抵制人工智能代写。生成式人工智能在学术创作过程中的隐蔽性，使得深度伪造变得难以察觉，从而可能破坏学术的真实性。此外，创作活动的混合性也为人机混同提供了可能，进一步损害了学术的公正性。同时，生成式人工智能的局限性和部分学者对智能的过度依赖也制约了学术的发展。鉴于生成式人工智能的这些特点，各国政府已经纷纷采取立法政策或行业指南来对其进行制约。在人机协同知识生产的时代背景下，我们必须对生成式人工智能进行系统布局，既要通过内生制度构建自上而下的规范体系，确保其在学术领域的合规使用，又要加强外延服务，实现多元协同，为生成式人工智能在学术领域的诚信使用提供全方位保障。只有这样，我们才能在享受人工智能技术带来的便利的同时，确保学术的诚信和公正。

The introduction of generative artificial intelligence(GenAI) to the education field has brought much convenience, but improper acts such as employing GenAI for paper writing and exam cheating have been repeatedly exposed, thus exerting a serious negative influence on academic integrity. Several universities have introduced AI-generated content detection systems to resist AI writing. Due to the invisibility of GenAI during academic creation, deep forgery becomes difficult to detect, which may undermine the authenticity of academic study. Additionally, the mixed nature of creative activities provides a possibility for human-machine mixing, further damaging the fairness of the academic study. Meanwhile, the limitations of GenAI and the excessive reliance of some scholars on intelligence also constrain academic development. Given the characteristics of GenAI, governments around the world have adopted legislative policies or industrial guidelines to constrain it. In the era of human-machine collaborative knowledge production, the systematical layout must be conducted on GenAI. Not only should a top-down regulatory system be constructed via the endogenous system to ensure its compliant utilization in academia, but also extension services should be strengthened to achieve diversified collaboration. Finally, a comprehensive guarantee can be provided for the honest adoption of GenAI in the academic community. Only in this way can academic integrity and fairness be ensured, with the convenience brought by AI technology enjoyed by the people.