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English(EN) "We are not naive about AI‑assisted writing. As authors who are also journal editors, we see an influx of submissions showing clear signs of AI use without adeq

学者呼吁学术写作中AI使用透明化

学者们正观察到AI生成稿件的增加,这些稿件缺乏足够的人工监督,导致出现伪造参考文献和掩盖薄弱论点等问题。作者们承认“AI垃圾”的潜力,但也认为AI在批判性参与、修订和对话方面可以成为有价值的工具。他们提议,学术成果应根据其思想和证据来评判,学者则根据其思考能力来评判,因此有必要透明地披露AI辅助情况,并制定区分学术工作中各种AI使用形式的政策。 AI

影响 呼吁在学术界透明披露和制定细致的AI使用政策,影响学术作品的评估和产出方式。

排序理由 该集群讨论了关于学术写作中AI使用问题的观点和潜在政策变化,这些讨论基于期刊编辑的观察。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

学者呼吁学术写作中AI使用透明化

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
该集群讨论了关于学术写作中AI使用问题的观点和潜在政策变化,这些讨论基于期刊编辑的观察。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
opinion, policy, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
105 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    我们对AI辅助写作并非天真。作为兼任期刊编辑的作家,我们看到大量投稿显示出明显的人工智能使用迹象,但缺乏充分的

    "We are not naive about AI‑assisted writing. As authors who are also journal editors, we see an influx of submissions showing clear signs of AI use without adequate human oversight, resulting in canned phrasing, hallucinated references and rhetorical masking of invalid arguments.…