Worried about the ethics and accuracy of AI-written content, journals are scrambling to protect scholarly literature from a potential flood of manuscripts written in whole or part by computer programs.
. The journals may loosen the policy in the future depending on what the scientific community decides is acceptable use of the text generators, Editor-in-Chief Holden Thorp says. “It’s a lot easier to loosen our criteria than it is to tighten them.”
Journal managers also say they are hoping to monitor the new technology using more technology: automated detectors that can flag synthetic text. But that isn’t easy, says Domenic Rosati, a senior research scientist at scite.ai, a company that develops software to assist scientific publishers. “We’re well past the time, in science in particular, of being able to say it’s obvious [certain text came from] a machine because of its fluency or its lack of truthfulness.
Better solutions may be on the horizon. OpenAI said in December 2022 it is working on ways to “watermark” the generated text. It would program its models to insert words, spelling, and punctuation in a telltale order to create a secret code detectable by search engines. And last month, . This algorithm examines text by creating multiple, random variations and querying a text generator to rank which versions it prefers. The extent to which the generator the team studied—developed by OpenAI and similar to ChatGPT—prefers the original text versus the altered versions is consistently different for human-written versus AI-generated text, allowing DetectGPT to predict the likelihood that a sample came from a particular machine.
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