The development of artificial intelligence has led to a significant increase in the volume of machine-generated texts, which are already difficult to distinguish from humans. Existing identification methods are often limited to certain AI architectures, which makes them vulnerable to new generations of bots. The press service noted that the goal of the new project is to create a system capable of detecting texts generated by any AI.
The project uses chaotic systems theory, topological data analysis, cluster theory, and neural networks to create a reliable system. According to project manager Vasily Gromov, the system will be tested on a variety of texts, including works of art and student work. The platform is expected to be available in 2025 and will support multiple languages, including the languages of the BRICS countries and the languages of the peoples of Russia.
Source: Ferra
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