Researchers cannot always differentiate between AI-generated and original abstracts.
. They then compared these with the original abstracts by running them through a plagiarism detector and an AI-output detector, and they asked a group of medical researchers to spot the fabricated abstracts.The ChatGPT-generated abstracts sailed through the plagiarism checker: the median originality score was 100%, which indicates that no plagiarism was detected. The AI-output detector spotted 66% the generated abstracts.
Wachter says that, if scientists can’t determine whether research is true, there could be “dire consequences”. As well as being problematic for researchers, who could be pulled down flawed routes of investigation, because the research they are reading has been fabricated, there are “implications for society at large because scientific research plays such a huge role in our society”. For example, it could mean that research-informed policy decisions are incorrect, she adds.
The authors suggest that those evaluating scientific communications, such as research papers and conference proceedings, should put policies in place to stamp out the use of AI-generated texts. If institutions choose to allow use of the technology in certain cases, they should establish clear rules around disclosure.
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