Standards and Requirements for AI Generated Content in Academic Research and Writing

As AI generation technologies such as ChatGPT continue to develop, the traditional ways of conducting academic research and writing papers are changing. In order to uphold academic integrity and the quality of publications, Journal of Modern Information hereby issues the following statement:

1. As a general principle, this journal will not accept papers submitted with AI tools listed as authors or references. The author(s) must be natural persons who can be held responsible for the veracity, completeness and scientific rigor of the content. If a paper is found to have been primarily generated by an AI tool, we will deal with it seriously according to violations of academic conduct.

2. If AI tools and content are utilized to assist research or creation in the writing process, including employing AI tools to collect and analyze data, produce images or graphical elements in papers, generate program algorithms or texts, or conduct textual polishing, the specific AI tools and processes used must be clearly stated in the data sources, methodological design, or concluding sections of the paper. Moreover, the contributions and roles of the AI tools in the research or creation must be explicitly elucidated, in order to allow reviewers and editors to evaluate the originality and veracity of the research process. Papers deemed in violation of academic conduct will face direct rejection or retraction.

3. Scientific research must adhere to requirements of scientificity, rigor, normativity, originality and innovation, and strictly observe principles of research integrity and academic ethics as well as publication standards. Writing papers is an important avenue for cultivating and exhibiting scientific research capabilities, and goals cannot be achieved through improprieties or seeking shortcuts.

We request scholars consistently uphold academic standards, adhere to principles of academic ethics, and maintain honest and transparent attitudes - employing information tools in a rational and normative manner for scholarly research work, while taking responsibility for one's research methods and conclusions.