Scientists claim 99 percent identification rate of ChatGPT content
Desaire and her colleagues compiled datasets to train and test an algorithm to classify papers written by scientists and by ChatGPT. They selected 64"perspectives" articles – a specific style of article published in science journals – representing a diverse range of topics from biology to physics, and prompted ChatGPT to generate paragraphs describing the same research to create 128 fake articles. A total of 1,276 paragraphs were produced by AI and used to train the classifier.
Initial experiments reported the classifier was able to discern between real science writing from humans and AI-generated papers 100 percent of the time. Accuracy at the individual paragraph level, however, dropped slightly – to 92 percent, it's claimed. ChatGPT is also less precise, and doesn't provide specific information about figures or other scientist names compared to humans. Real science papers also use more equivocal language – like"however","but","although" as well as"this" and"because".
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