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OpenAI’s ChatGPT, Google’s Gemini, Microsoft’s Copilot and other models are befuddling students, researchers and archivists by generating “incorrect or fabricated archival references,” according to the ICRC, which runs some of the world’s most used research archives. (Scientific American has asked the owners of those AI models to comment.)

AI models not only point some users to false sources but also cause problems for researchers and librarians, who end up wasting their time looking for requested nonexistent records, says Library of Virginia chief of researcher engagement Sarah Falls. Her library estimates that 15 percent of emailed reference questions it receives are now ChatGPT-generated, and some include hallucinated citations for both published works and unique primary source documents. “For our staff, it is much harder to prove that a unique record doesn’t exist,” she says.