If you’ve been getting cozy with the idea of your friendly AI chatbot, ChatGPT, whipping up your final thesis paper, it’s time for a reality check. While AI-generated writing has wowed the masses, researchers at the University of Kansas have just upped the ante by developing a method to identify AI-generated academic science writing with over 99% accuracy.

The research, published in the scientific journal Cell Reports, explains how it came to be.

“The need to discriminate human writing from AI is now both critical and urgent, particularly in domains like higher education and academic writing, where AI had not been a significant threat or contributor to authorship,” the researchers wrote.

Past attempts to detect AI-generated content have met with varying degrees of success. OpenAI’s own efforts, for instance, haven’t been reliably effective. But these detection tools have traditionally focused on a broad spectrum of writing styles, rather than honing in on the specific tone and purpose that characterizes academic science writing.

The team’s method, conversely, was fine-tuned for academic writing. By comparing 64 human-written perspectives and 128 ChatGPT-generated articles on the same research topics, they identified key markers of AI writing.

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Author: Jose Antonio Lanz

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