Use of AI Is Seeping Into Academic Journals—and It’s Proving Difficult to Detect | WIRED

Source: story link, from wired.com

Good article on a worrying trend. It’s things like this that make me skeptical of arguments that generative AI could have real benefit when used properly. It’s not that I disagree—it’s that in the aggregate, I’m not sure the proper uses will outweigh the problems.

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It annoys me when a journal asks a reviewer to address specific prompts; it annoys me more when I only realize this after writing my review.

I got my job largely because I can work with Twitter data, and my tenure application is built on the premise that I do good Twitter research. I probably shouldn’t take as much pleasure as I do from watching the platform fall apart right now, but I was ready to move on anyway.

In a training last week, we discussed the trend of journals’ checking manuscripts with plagiarism software. People shared examples where editors couldn’t accept perfectly good reasons for authors to reuse material unless a certain software score was also reached.

Reviewer 1 has missed the key argument and main throughline of my paper, and even though the editor says I can ignore them, it’s still making me SO MAD.

Responding to reviewer who has a specific picture in their head of what “good” edtech research “should” look like. Thus, they’re confused by things in my paper that I’m sure aren’t problems—but don’t fit that picture.

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