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🗓️ 28 May 2025
⏱️ 21 minutes
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A spike in papers formulaically analysing a public data set has sparked worries that AI is being used to generate low quality and potentially misleading analyses.
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0:00.0 | Welcome back to the Nature Podcast. This week on the show, we're doing something a little bit different. We've got two brilliant hosts with me today as we talk about a couple of papers that have been highlighted in the Nature Briefing. So I am your host, Nick Pertridge Howe. And with me today is Charney Bundell. Yeah, I'm here, ready to talk about some science. |
0:22.3 | And Lizzie Gibney. |
0:23.4 | Hello, good to be here. |
0:24.7 | Well, it's great to have you both here as well. |
0:27.3 | So, who wants to go first today? |
0:29.3 | We've got lots of exciting science. |
0:30.8 | Charmne is looking at me. |
0:31.7 | I'm looking keen. I'm really into this paper. Not that it's found a good thing, but I think it's a really interesting study. |
0:39.5 | So I've been reading about this in Nature, and it's an article that was published in PLOS Biology. |
0:45.0 | And it's about, well, it's about maybe AI being used. |
0:50.0 | Well, it's hard to prove, right? |
0:52.0 | Has AI written a bunch of papers? |
0:54.6 | Well, they're not saying, like, yep, look for the telltale signs. |
0:57.9 | This was definitely AI. |
0:59.3 | But they are looking at some patterns. |
1:01.5 | They've analysed over 300 papers that have used a specific data set. |
1:07.4 | And they've come up with some reasons that they think it could well be that we are |
1:12.8 | currently seeing basically an explosion of poor quality AI papers using this is one particular |
1:19.0 | public data set. And this is always like the fear, isn't it, that AI is going to be used |
1:23.4 | to like churn out a bunch of papers. I think Lizzie, you've written about this. But I guess |
1:27.3 | it is |
1:27.7 | hard to prove and maybe someone will be using AI just to help with their language or, you know, |
... |
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