STAT+: Data integrity watchdogs call for stronger safeguards in scientific journals
SAN FRANCISCO — According to Elisabeth Bik, a scientific watchdog who has discovered thousands of errors in scientific papers, the problem of fraud, errors, or data mishandling in the scientific literature seems to be getting worse. In the last couple of years, Bik’s been seeing an influx of AI-generated papers in the scientific record that are “nonsensical and clearly low quality.” The possibility that AI-generated, fraudulent data could be making its way into more established journals is a constant fear.
But institutions and academic journals aren’t doing enough about it, she said at the STAT breakthrough summit in San Francisco.
While artificial intelligence can be a powerful research tool when used legitimately, it’s also “absolutely frightening to me what AI can generate,” Bik said. “I’m worried this has already infiltrated scientific literature. It’s hard to tell [AI-generated images] apart from real photos. They look so real. I feel publishers are not putting [in] enough effort to deal with it — how do we find the fake photos?”
