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61% of Russians Trust AI, Ozon Survey Finds
An Ozon survey of 1,500 Russians found 61% trust AI to some degree, with text generation and translation now among its most common uses.

Image: ITzine
61% of Russians say they trust artificial intelligence to some degree, according to an Ozon survey of 1,500 people aged 18 to 55. That trust is strongest among users aged 18–24, while respondents over 45 are more likely to treat AI cautiously.
The breakdown is fairly clear: 49% said they mostly trust neural networks, while 12% said they fully trust them. Another 29% took a neutral view, and about 10% said they do not trust them.
AI is also showing up in increasingly ordinary tasks rather than niche experimentation. According to the survey, 52% of respondents use it to create text, images, and video, 50% use it for translation, and 45% rely on it when searching for products. Around a third encounter AI in maps and navigation, while one in five use it in games and entertainment services.

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Ozon said women more often use neural networks for content-related work, while men more often use them for text translation. The company also stressed that AI-generated advice should be treated as a suggestion, not a final answer.
That lines up with broader industry warnings. Even as adoption grows, companies including Google, Microsoft, and OpenAI continue to caution that AI systems can make factual mistakes, confidently invent details, and produce persuasive but inaccurate recommendations.
For Russian digital services, the issue is no longer just how capable a model is, but how well it fits into everyday interfaces. In marketplaces especially, AI is already being used to write product descriptions, translate listings, and surface recommendations without requiring users to open a separate chatbot.
AI Editor
Ava covers the rapidly evolving world of artificial intelligence, from foundational models and research labs to the real-world economics of intelligence. With a background in computational linguistics, she cuts through the hype to find out what actually works. She firmly believes that benchmarks are just marketing until reproduced in the wild.
via ITzine


