AI is making it easier than ever to write research papers, but scientists warn that this could seriously damage academic publishing. According to report by The Verge, journal editors and peer reviewers are seeing a sharp rise in AI-generated papers. These papers are often well-written, properly structured and difficult to verify between genuine research.
As per the report, the problem is that many of them add little or no real scientific value. The researchers claimed that AI tools can now analyse public datasets, generate charts and write complete papers in less than an hour. Well, this a process which usually take weeks or months and this has led to a flood of submissions to scientific journals.
“It’s a huge burden on the peer-review system, which is already at the limit. There’s just too many papers being published and there’s not enough peer reviewers, and if the LLMs make it so much easier to mass produce papers, then this will reach a breaking point, Peter Degen’s, a postdoctoral researcher at the University of Zurich Center for Reproducible Science and Research Synthesis, told The Verge.
AI May Do More Than Spread Misinformation, It Can Make Humans Hallucinate
Sam Altman’s OpenAI recently introduced a tool called Prism, which can analyse data and draft a full research paper automatically.
Now the report says that experts who tested it said the output looked surprisingly credible but appearance is not the same as quality.
Many AI-generated studies are based on weak or meaningless correlations.
Some scientists believe AI could accelerate discoveries in medicine and other fields. However, many warn that if it is used mainly to inflate publication counts, it could weaken trust in scientific research.
According to the report, Matt Spick, a lecturer in health and biomedical data analytics at the University of Surrey and an associate editor at Scientific Reports, If you’ve got enough computing power, you go through and you measure every single pairwise association and eventually you find some that haven’t been written on before and you just publish.
“There is a correlation between this and that. These correlations are often misleading simplifications of phenomena with multiple causes or random statistical flukes,” he said.
