{"id":13425,"date":"2025-05-13T08:41:13","date_gmt":"2025-05-13T08:41:13","guid":{"rendered":"https:\/\/www.yiaho.com\/here-are-students-techniques-to-outsmart-ai-generated-text-detection\/"},"modified":"2025-05-13T08:41:13","modified_gmt":"2025-05-13T08:41:13","slug":"here-are-students-techniques-to-outsmart-ai-generated-text-detection","status":"publish","type":"post","link":"https:\/\/www.yiaho.com\/en\/here-are-students-techniques-to-outsmart-ai-generated-text-detection\/","title":{"rendered":"Here are students’ techniques to outsmart AI-generated text detection"},"content":{"rendered":"

Artificial intelligence, with tools like Yiaho or ChatGPT, has revolutionized the way students approach their homework. According to M\u00e9diam\u00e9trie, in January 2024, over 20% of French students had already used artificial intelligence for academic or personal needs. <\/p>\n

But faced with AI detection software, like our online ChatGPT detector<\/a>, Turnitin or GPTZero, a new generation of strategies is emerging.<\/p>\n

Students are competing in ingenuity to make their texts undetectable, turning writing into a cat-and-mouse game. Here’s a look at these techniques, enriched with recent trends, and their implications for education. <\/p>\n

AI-written text: Students’ new tricks<\/h2>\n

Mimicking an “imperfect” style:<\/h3>\n

A popular trick, spotted on platforms like TikTok and reported by Futurism, involves asking the AI to write a text in a deliberately clumsy style. For example, one student explained that she instructed ChatGPT to write “like a somewhat dumb freshman<\/em>“. <\/p>\n

Result: a text riddled with approximations and a less polished style, which more easily passes as human in the eyes of detectors and teachers.<\/p>\n

AI cascade to cover tracks:<\/h3>\n

Some students don’t settle for just one AI. They run their text through multiple tools, like Yiaho, ChatGPT, then Claude or Grok<\/a>. Each pass slightly modifies the style and structure, making the trace of the initial AI almost impossible to spot, according to observations reported by tech media. <\/p>\n

Advanced personalization:<\/h3>\n

By incorporating personal anecdotes or specific references to their course, students give their texts a touch of authenticity. For example, mentioning a local event or a class discussion can convince a professor that the work is original, even if the framework comes from an AI. <\/p>\n

Custom prompts:<\/h3>\n

Students refine their instructions to get texts that match their academic level. A prompt like “Write an essay in French like a 17-year-old high school student with occasional mistakes<\/em>” produces a credible result, far from the overly smooth style of an unguided AI. <\/p>\n

We also notice that students deliberately add spelling mistakes to “humanize” their text even more!<\/p>\n

Hybrid mix:<\/h3>\n

A common technique involves merging AI-generated text with manually written parts. This mix dilutes the typical markers of AI models, such as overly uniform syntax or overly sophisticated vocabulary, making detection more difficult. <\/p>\n

Also read on this topic: Do anti-plagiarism software detect texts generated by ChatGPT?<\/a><\/p>\n

A rapidly expanding global phenomenon<\/h2>\n

The use of generative AI is not just a gadget for Anglo-Saxon students. In France, the phenomenon is gaining momentum. According to a M\u00e9diam\u00e9trie study from January 2024, approximately 20.3% of French students have already used an AI like ChatGPT. <\/p>\n

This figure reflects rapid adoption, especially among young people, who see these tools as a way to optimize their time.<\/p>\n

Why do these tricks work?<\/h2>\n

AI detectors rely on clues like syntactic regularity, the absence of human errors, or linguistic patterns specific to AI models. Students’ techniques, by introducing imperfections or diversifying sources, exploit these limitations. <\/p>\n

For example, a text passed through multiple AIs or deliberately “degraded” can escape current algorithms, which struggle to distinguish human work from a well-designed hybrid work.<\/p>\n

But this advantage is temporary. Detection software publishers, aware of these strategies, are refining their tools. Some are exploring approaches based on analyzing a student’s writing style over time to spot sudden inconsistencies, like an unexplained jump in the quality of an assignment. <\/p>\n

See also: Is AI plagiarism? Here’s what the law says<\/a><\/p>\n

The risks of such a practice<\/h2>\n

These techniques, while creative, are not without consequences:<\/p>\n