近期研究指出，人工智慧在學術界的廣泛應用已對期刊出版帶來重大衝擊。商學院教授發現，自 2022 年以來，學術期刊的投稿量激增，但研究品質與同儕審查的評論水準卻顯著下降。這表明 AI 生成的論文正在大量湧入，引發學術審查系統的危機。

在多個學科中，AI 帶來的負面效應日益明顯，尤其是在醫學與金融領域。研究人員利用 AI 工具能在極短時間內產出大量看似完整的論文，但其中常包含方法學上的缺陷、無意義的相關性以及數據操縱。此外，部分審查者甚至將機密草稿輸入至語言模型，引發嚴重的智慧財產權隱憂。

儘管存在上述擔憂，部分學者對 AI 的潛力仍抱持樂觀態度。他們認為 AI 能顯著提升數據收集與分析的效率，使科學家能更深入地探索問題。然而，為了確保科學發現的真實價值，AI 仍需依賴人類的想像力與判斷力，而學術界也必須適應這些工具對傳統研究流程的深遠改變。

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.