this post was submitted on 19 Feb 2024
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It's not so much the use of AI that's upsetting as it is the "peer review" process. There needs to be a massive change in how journals review studies, before reasonable people start to question every study based on cases like this. How many false studies are currently used for important shit that we just haven't caught yet?
It got published, people noticed it, people saw it was bullshit, it got retracted. Publishing is not the end of the line.
It's an extreme example, but it's still an example of the system working in the end. Reasonable people are supposed to question what they read, not blindly trust it, that's how you catch "important shit".
The problem is not that some bad papers get published. The problem would be them staying unchallenged. And it's also a problem that laymen consider one random study is an undeniable proof of their argument (potentially ignoring the thousands of studies contradicting it).
A shame most people are trained by both the school system and society to just take things at face value
An even greater shame is that almost no people are trained on basic statistics and think they can debunk a published study in PNAS with a Google search and some random guys blog.