How to spot an AI cheater

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Students, lawyers and others are passing off writing drafted by artificial intelligence as their own. Alex O'Brien investigates the technological tools and critical thinking skills needed to identify if AI is the real author

"Labyrinthian mazes". I don't know what exactly struck me about these two words, but they caused me to pause for a moment. As I read on, however, my alarm bells started to ring. I was judging a science-writing competition for 14-16 year-olds, but in this particular essay, there was a sophistication in the language that seemed unlikely from a teenager.

I ran the essay through AI detection software. Within seconds, Copyleaks displayed the result on my screen and it was deeply disappointing: 95.9% of the text was likely AI-generated. I needed to be sure, so I ran it through another tool: Sapling, which identified 96.1% non-human text. ZeroGPT confirmed the first two, but was slightly lower in its scoring: 89% AI. So then I ran it through yet another software called Winston AI. It left no doubt: 1% human. Four separate AI detection softwares all had one clear message: this is an AI cheater.

I had known for some time that AI-written content was causing serious challenges to many industries, including my own profession of journalism. Yet here I was, caught by surprise because a student thought it would be acceptable to submit an AI-drafted entry for a writing competition. Of course, students trying to cheat isn't anything new. What struck me was the possibility that the intentional use of AI could be more widespread than I had realised. Staring at the fake student essay before me, I couldn't help but worry. As a mother to a young eight-year-old child with a whole lot of educational journey still before her, seeing AI used by a school-child caused me great concern about the integrity and value of the learning process in the future.

Read more at https://www.bbc.com/future/article/20230720-how-to-spot-an-ai-cheater-artificial-intelligence-large-language-models

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