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.”
“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.”