English(EN) I just noticed something troubling about AI training datasets cited in a paper that I'm reviewing: there are lots of them that have been labelled by amateur dil

AI训练数据质量因业余标注而受到质疑

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 03:37

一位审稿人对AI训练数据集的质量表示担忧，特别是那些由缺乏主题专业知识的个人标注的数据集。审稿人指出，特定领域（如行为心理学）的数据集正被没有相关专业知识的普通“数据科学家”头衔的人员分类。这种做法带来了AI研究中“垃圾进，垃圾出”（GIGO）的重大风险，并影响了学术界已发表论文的有效性和评审过程。 AI

影响由于潜在的数据质量问题，对AI研究结果的可靠性提出了质疑。

排序理由该条目是对AI研究实践的个人观察和批评，而非主要公告或事件。

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-09-10 03:37

我刚注意到一篇我正在审阅的论文中引用的AI训练数据集存在一个令人不安的问题：其中有许多是由业余人士标注的

I just noticed something troubling about AI training datasets cited in a paper that I'm reviewing: there are lots of them that have been labelled by amateur dilettantes. The people who created them describe themselves only as things like "data scientist" and state no expertise at…

本文如何被排名

报道来源 [1]

我刚注意到一篇我正在审阅的论文中引用的AI训练数据集存在一个令人不安的问题：其中有许多是由业余人士标注的

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