Abstract:

[Purposes] This study aims to explore the impacts and challenges of artificial intelligence generated content (AIGC) on the academic journal publishing field, and analyze the consensus and strategies of the academic journal publishing field to deal with AIGC, so as to promote the reasonable application of AIGC in the academic journal publishing field. [Methods] Starting from the logic of “policy norms-risks and challenges-countermeasures and suggestions”, we investigated and analyzed the policy norms of domestic and foreign academic journal publishers on AIGC, formed the attitude tendency to deal with AIGC around the whole publishing process of academic journal, analyzed the unresolved risks and challenges, and put forward countermeasure suggestions. [Findings] The overall attitude of domestic and foreign academic journal publishers towards AIGC tends to be conservative and prudent. Although a certain consensus has been reached, there are still some problems such as weak consistency of academic norms, difficulty in reviewing academic quality, high risk of data security, and disputes over copyright protection when using AIGC. [Conclusions] The academic journal publishing field should actively embrace the technological changes brought by AIGC, promote the establishment of consensus academic publishing norms, strengthen content review, carry out AIGC detection with tools, strengthen the training on the boundaries of the use of AIGC, and guide the reasonable, transparent, and responsible use of AIGC, so as to realize the intelligent change and sustainable development of academic publishing.

Key words: Academic journal publishing, AIGC, Publishing ethics, Publishing regulations, Data security, Copyright protection

摘要：

【目的】 探讨人工智能生成内容(artificial intelligence generated content, AIGC)对学术期刊出版领域的影响和挑战,并分析学术期刊出版领域应对AIGC的共识与策略,以促进AIGC在学术期刊出版领域的合理应用。【方法】 从“政策规范-风险与挑战-对策建议”的逻辑思路出发,调研分析国内外学术期刊出版机构对AIGC的政策规范,围绕学术期刊出版全流程形成应对AIGC的态度倾向,剖析尚未解决的风险与挑战并提出对策建议。【结果】 国内外学术期刊出版机构对于AIGC的总体态度倾向于保守性和稳妥性,虽已达成一定共识,但在使用AIGC时仍存在学术规范一致性弱、学术质量审查难、数据安全风险大、版权保护争议多等问题。【结论】 学术期刊出版领域应积极拥抱AIGC带来的技术变革,推动建立共识的学术出版规范,强化内容审核,借助工具开展AIGC检测,加强关于AIGC使用边界的培训,引导AIGC的合理、透明、负责任使用,实现学术出版的智能变革与可持续发展。

关键词: 学术期刊出版, 人工智能生成内容, 出版伦理, 出版规范, 数据安全, 版权保护