English(EN) There is absolutely no benefit in using #AI in this context. You still do all the work - and then you get codes you would be getting anyway because you are doin

用户质疑AI的益处，提及工作量和数据隐私

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-10 06:17

一位Mastodon用户对其工作流程中AI工具的实用性表示怀疑，特别是在定性研究方面。他们认为AI并不能减轻工作量，因为用户仍然需要完成所有必要的任务来生成期望的输出，例如对定性数据进行编码。用户还对数据隐私表示担忧，指出AI工具会收集用户数据。 AI

影响用户的担忧凸显了AI采用过程中潜在的摩擦点，特别是关于感知价值和数据隐私。

排序理由用户观点文章，表达了对AI实用性的怀疑。

在 Mastodon — fosstodon.org 阅读 →

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

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-10 06:17

There is absolutely no benefit in using #AI in this context. You still do all the work - and then you get codes you would be getting anyway because you are doin

There is absolutely no benefit in using #AI in this context. You still do all the work - and then you get codes you would be getting anyway because you are doing all the work (aka Grounded Theory!). The programme, however, gets all your data!

报道来源 [1]

There is absolutely no benefit in using #AI in this context. You still do all the work - and then you get codes you would be getting anyway because you are doin

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