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The NIH Is Capping Research Proposals Because It's Overwhelmed by AI Submissions

The NIH wrote that it has recently “observed instances of Principal Investigators submitting large numbers of applications, some of which may have been generated with AI tools."
The NIH Is Capping Research Proposals Because It's Overwhelmed by AI Submissions
NIH Gateway Center entrance, Bethesda, MD. Credit: G. Edward Johnson via Wikimedia Commons

The National Institutes of Health claims it’s being strained by an onslaught of AI-generated research applications and is capping the number of proposals researchers can submit in a year.

In a new policy announcement on July 17, titled “Supporting Fairness and Originality in NIH Research Applications,” the NIH wrote that it has recently “observed instances of Principal Investigators submitting large numbers of applications, some of which may have been generated with AI tools,” and that this influx of submissions “may unfairly strain NIH’s application review process.” 

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“The percentage of applications from Principal Investigators submitting an average of more than six applications per year is relatively low; however, there is evidence that the use of AI tools has enabled Principal Investigators to submit more than 40 distinct applications in a single application submission round,” the NIH policy announcement says. “NIH will not consider applications that are either substantially developed by AI, or contain sections substantially developed by AI, to be original ideas of applicants. If the detection of AI is identified post award, NIH may refer the matter to the Office of Research Integrity to determine whether there is research misconduct while simultaneously taking enforcement actions including but not limited to disallowing costs, withholding future awards, wholly or in part suspending the grant, and possible termination.” 

Starting on September 25, NIH will only accept six “new, renewal, resubmission, or revision applications” from individual principal investigators or program directors in a calendar year. 

Earlier this year, 404 Media investigated AI used in published scientific papers by searching for the phrase “as of my last knowledge update” on Google Scholar, and found more than 100 results—indicating that at least some of the papers relied on ChatGPT, which updates its knowledge base periodically. And in February, a journal published a paper with several clearly AI-generated images, including one of a rat with a giant penis. In 2023, Nature reported that academic journals retracted 10,000 "sham papers," and the Wiley-owned Hindawi journals retracted over 8,000 fraudulent paper-mill articles. Wiley discontinued the 19 journals overseen by Hindawi. AI-generated submissions affect non-research publications, too: The science fiction and fantasy magazine Clarkesworld stopped accepting new submissions in 2023 because editors were overwhelmed by AI-generated stories.

According to an analysis published in the Journal of the American Medical Association, from February 28 to April 8, the Trump administration terminated $1.81 billion in NIH grants, in subjects including aging, cancer, child health, diabetes, mental health and neurological disorders, NBC reported.

Just before the submission limit announcement, on July 14, Nature reported that the NIH would “soon disinvite dozens of scientists who were about to take positions on advisory councils that make final decisions on grant applications for the agency,” and that staff members “have been instructed to nominate replacements who are aligned with the priorities of the administration of US President Donald Trump—and have been warned that political appointees might still override their suggestions and hand-pick alternative reviewers.” 

NIH told 404 Media: "NIH developed this policy to ensure that the research application system promotes fairness and originality and to mitigate the potential overload of its review systems. NIH has observed cases of large numbers of applications (e.g., more than 40 being submitted in a single application submission round) which are likely evidence of use of AI tools in application development. As AI is becoming increasingly commonplace, it is reasonable to anticipate a potentially rapid increase in the use of AI in application development. A thorough analysis of application trends was conducted to determine the number of applications per calendar year the NIH should accept from a principal investigator. Specifically, the analysis revealed that 1.3% of PIs submitted more than six applications in 2024. Based on our data, this limit will affect a relatively small number of applicants."

Updated 4:00 p.m. EST to include comment from NIH.

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