The Significance, Challenge and Optimization Path of Generative Artificial Intelligence to the Development of Academic Journals
摘要: 当前,随着生成式人工智能的广泛应用,深刻影响了学术期刊的发展。生成式人工智能对学术期刊发展具有十分重要的现实意义,即有助于提升学术期刊编辑工作的业务效率、切实增强学术期刊文章的传播力共享力、增强生成式人工智能与学术研究的融合度。但值得注意的是,生成式人工智能也为期刊发展带来了风险挑战,主要表现为:易弱化学术期刊编辑工作者的主体性、易给学术研究成果的质量带来新挑战、仍存在应用机制和保障不健全等问题,对此,要建立健全生成式人工智能促进学术期刊发展的运行机制,选拔培育一支适应生成式人工智能运用的期刊编辑队伍,完善生成式人工智能在学术期刊领域运用的保障条件,以此不断提升生成式人工智能在学术期刊领域的应用实效。
Abstract: At present, with the wide application of generative artificial intelligence, it has a profound impact on the development of academic journals. Generative artificial intelligence is of great practical significance to the development of academic journals, that is, it helps to improve the efficiency of academic journal editing, enhance the dissemination and sharing of academic journal articles, and enhance the integration of generative artificial intelligence and academic research. However, it is worth noting that generative artificial intelligence also brings risks and challenges to the development of journals, which are mainly manifested in the following aspects: it is easy to weaken the subjectivity of editors of academic journals, it is easy to bring new challenges to the quality of academic research results, and there are still some problems such as imperfect application mechanism and guarantee. Select and cultivate a journal editorial team adapted to the application of generative artificial intelligence, improve the guarantee conditions for the application of generative artificial intelligence in the field of academic journals, so as to continuously improve the application effectiveness of generative artificial intelligence in the field of academic journals.
[V1] | 2025-05-02 18:26:05 | PSSXiv:202505.00038V1 | 下载全文 |
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