A report from the University of Surrey warns that the integrity of scientific knowledge is jeopardized by an influx of low-quality AI-generated research papers. These papers often use superficial study designs and misinterpret data from credible sources like the NHANES database. The authors highlight that this trend includes a rise in 'formulaic' research that lacks rigorous analysis, focusing on single variables instead of complex, multi-factor explanations. The report underscores the challenge this poses to journals and peer reviewers, ultimately weakening the quality of scientific literature.
"We've seen a surge in papers that look scientific but don't hold up under scrutiny - this is 'science fiction' using national health datasets to masquerade as science fact."
"The use of these easily accessible datasets via APIs, combined with large language models, is overwhelming some journals and peer reviewers, reducing their ability to assess more meaningful research."
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