Artificial intelligence systems trained with government data will verify “the presence of threats to state security and national defense,” says the government-approved passport of the federal project “Digital Public Administration”, which will be included in the national project ” Data Economy”. .” Kommersant reviewed the document.
Author:
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To achieve this, the government plans to conduct research work to determine the principles for analyzing AI models in 2025-2026 and introduce the first version of the corresponding software in 2027-2028. The controls are necessary due to plans to use artificial intelligence in strategic decision-making, the document states.
The task of the federal project has been entrusted to the Federal Security Service (FSB), and more than 8 billion rubles from the federal budget will be allocated to create programs for monitoring state neural networks until 2030. By 2030, the authorities plan to have five AI models certified as “acceptable for safe use.”
The office of Deputy Prime Minister for Digitalization, Dmitri Grigorenko, told the newspaper that the national project is still under approval and that before its approval it is “premature” to discuss the plans specified in the document. The FSB declined to comment on the publication.
From January 1, 2024, GOST will also be applied in Russia, which will establish requirements for data protection in the application and development of AI, Timofey Voronin, deputy director of the NTI Competence Center for Big Data of Moscow State University. . According to the expert, two categories of data require special attention: personal and protected. State data belongs to second place, so if “artificial intelligence systems are trained on them, then it is necessary to carry out such an assessment,” Voronin emphasized.
Author:
Mikhail Zelenin
Source: RB
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
