近期研究指出，人工智慧在学术界的广泛应用已对期刊出版带来重大冲击。商学院教授发现，自 2022 年以来，学术期刊的投稿量激增，但研究品质与同侪审查的评论水准却显著下降。这表明 AI 生成的论文正在大量涌入，引发学术审查系统的危机。

在多个学科中，AI 带来的负面效应日益明显，尤其是在医学与金融领域。研究人员利用 AI 工具能在极短时间内产出大量看似完整的论文，但其中常包含方法学上的缺陷、无意义的相关性以及数据操纵。此外，部分审查者甚至将机密草稿输入至语言模型，引发严重的智慧财产权隐忧。

尽管存在上述担忧，部分学者对 AI 的潜力仍抱持乐观态度。他们认为 AI 能显著提升数据收集与分析的效率，使科学家能更深入地探索问题。然而，为了确保科学发现的真实价值，AI 仍需依赖人类的想像力与判断力，而学术界也必须适应这些工具对传统研究流程的深远改变。

Recent studies indicate that the widespread use of artificial intelligence in academia has significantly impacted journal publishing. Business school professors have observed a surge in manuscript submissions since 2022, accompanied by a noticeable decline in the quality of both the research itself and the peer review comments. This suggests a massive influx of AI-generated papers, triggering a crisis in the academic review system.

The negative effects of AI are becoming increasingly apparent across multiple disciplines, particularly in medicine and finance. Researchers can use AI tools to generate massive amounts of seemingly complete papers in very short timeframes, but these often contain methodological flaws, meaningless correlations, and data manipulation. Furthermore, some reviewers are feeding confidential drafts into language models, raising serious intellectual property concerns.

Despite these concerns, some scholars remain optimistic about the potential of AI. They argue that AI significantly enhances the efficiency of data collection and analysis, allowing scientists to explore issues more deeply. However, to ensure the true value of scientific discoveries, AI still relies on human imagination and judgment, and academia must adapt to the profound changes these tools bring to traditional research workflows.