Hallucinated citations generated by AI are contaminating scientific literature, with projections indicating tens of thousands of invalid references appearing in publications from 2025 onward, as reported by Nature. The discussion establishes that author accountability and institutional oversight are essential to combat this issue, rather than relying solely on journal responsibility. Peer review currently fails to consistently detect fraudulent citations, raising concerns about the reliability of the peer-review model in its present form. The use of AI for fact-gathering is deemed irresponsible due to its propensity to fabricate information, and deliberate misuse of AI to produce fictitious content has already been documented.
Researchers, journal editors, academic integrity officers, and policymakers focused on maintaining scientific rigor and combating misinformation in scholarly publishing will benefit from this discussion.
Again, the merit of peer review relies upon humans acting professionally. Bad actors always exist, but that's why some journals are considered 'higher quality' than others.Muu9 said:Shouldn't peer review be catching these fraudulent citations? If it isn't, what does that suggest about the feasibility of the current peer-review based scientific model?
Either laziness or to increase output. An enterprising individual released at least 364 AI "history" videos in a month. They were entirely and deliberately fictitious.WillyP said:I think anybody who relies on AI for any sort of facts, should be fired. It is hard to believe that anybody on the planet is not aware of how unreliable AI is. It regularly makes up facts. We all know this. Why would anybody use it to gather data, when you know the data is unreliable!?