Research papers found carrying hidden white text giving instructions not to highlight negatives as concern grows over use of large language models for peer review
I don’t see this as rotten behaviour at all, I see it as a Bobby tables moment teaching an organisation relying on a technology that they better have a their ducks in a row.
It’s still extremely shitty unethical behavior in my book since the negative impact is not felt by the organization that’s failing to validate their inputs, but your peers who are potentially being screwed out of a review process and a spot in a journal or conference
Caveat: not all of academia seems to be that rotten. The evidence found on arxiv.org is mainly, if not only, in the field of AI research itself 🤡
You can try it yourself, just type the following in googles search box:
allintext: “IGNORE ALL PREVIOUS INSTRUCTIONS” site:arxiv.org
A little preview:
I don’t see this as rotten behaviour at all, I see it as a Bobby tables moment teaching an organisation relying on a technology that they better have a their ducks in a row.
Absolutely. If they don’t care to actually read the texts, they have to accept the risks of not reading it.
It’s still extremely shitty unethical behavior in my book since the negative impact is not felt by the organization that’s failing to validate their inputs, but your peers who are potentially being screwed out of a review process and a spot in a journal or conference
Por qué no los dos?
It’s an XKCD comic.
They didn’t ask what the comic was, they asked “but why not both?”. It can be both unethical and a lesson