How to distinguish an AI response from a human response: signs to pay attention to
It seems that today, AI writes everything—from letters and resumes to reviews and school essays. ChatGPT, Claude, Gemini, and other models are capable of holding conversations, developing ideas, and even arguing. But can we still tell where a human is speaking and where an algorithm is? Here are the key signs that can make you suspect that you're dealing not with a person, but with a neural network.
Author - Mansur Ismagulov
The Tech AI
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AI-generated texts are characterized by flawless grammar, unnatural politeness, and clichéd phrases. They avoid direct opinions and specifics, favoring abstract phrasing instead. Distinguishing AI from human writing can be done by analyzing style, structure, and word frequency using specialized online tools.
Too "perfect" text
AI writes too correctly. Its texts rarely contain typos, all sentences are grammatically correct, paragraphs are even, and the structure is textbook-like. People rarely write this way, especially in a hurry.
Unnatural politeness
Artificial intelligence responses often sound polite and formal. For example, in a simple chat, it might suddenly write: "Thank you for your question" or "I hope my answer was helpful." AI tends to "play it safe": it adds phrases like "I hope this was useful," "I'd be happy to help" even where it's not needed. This is more common among robots than among people.
Avoids direct opinions
AI has no personal experience, so it writes abstractly: "many have encountered," "in some cases," "according to experts." A person, on the other hand, usually speaks directly: "this happened to me," "I tried it," or "I didn't like it." Robots also repeat clichéd phrases: "overall," "however, it should be noted," "nevertheless." They often try to cover everything at once, start explaining even the simplest things in detail, sometimes turning a short question into a long lecture. They try not to argue or take sides. And most often, they will respond with general words and won't be specific.
Neural networks are getting better, but so far it's still possible to distinguish them from humans. The main thing is to pay attention not only to the meaning but also to the style. For this, there are also special online services that help determine whether a text was written by a neural network. They analyze the style, structure, and word frequency, which we have already mentioned earlier in this article.
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