Dmitry Grigorenko: To implement AI on a large scale, it is necessary to establish operational cooperation with the regions.

Translation. Region: Russian Federation –

Source: Government of the Russian Federation – Government of the Russian Federation –

An important disclaimer is at the bottom of this article.

Deputy Prime Minister and Chief of the Government Staff Dmitry Grigorenko participated in a meeting of the State Council Commission on the Data Economy. The meeting focused on the development of artificial intelligence and the development of recommendations for the relevant interdepartmental commission (headquarters) under the President.

Deputy Prime Minister Dmitry Grigorenko noted that to scale up AI implementation in Russia, regions must be more actively involved in implementing the technology. Regions already have successful experience and results from implementing the technology: today, AI helps manage traffic flows, monitor law and order, and ensure safety and cleanliness in cities. Although regions of the Russian Federation have specific differences, some tasks in regional governance are common. Therefore, it is important for regions to share experiences on how AI technology can improve the efficiency of certain tasks. The State Council Commission can become a platform for aggregating regional experience in AI implementation, as well as for collecting and analyzing proposals from regions on the use of the technology.

"Large-scale implementation of AI implies the effective use of technology in key sectors across all regions of the country. To accelerate this process, it's important for us not just to create new solutions, but above all to establish an exchange of experience. We need to gather a complete picture of how regions are already using AI and where they see the greatest impact. The State Council Commission on the Data Economy could serve as a single point of reference for regional expertise. It could also collect, analyze, and implement proposals from regions. This will be essential for operational coordination with the AI headquarters to ensure rapid, informed decision-making," noted Dmitry Grigorenko.

The commission meeting also discussed the development of a framework law aimed at regulating AI. Dmitry Grigorenko noted that, given the growing influence of AI on key areas and the scaling of its application, the need for regulatory codification of its application in specific areas arises. Six potential areas of AI regulation are being discussed: developing criteria for "Russian" AI; labeling AI content; distributing rights, obligations, and responsibilities between AI developers and users; developing a conceptual framework; industry-specific aspects of AI application; and copyright issues for AI-created products. According to Dmitry Grigorenko, the framework law will primarily focus on introducing regulations for the use of AI in particularly sensitive areas, such as healthcare, legal proceedings, and security.

"The use of artificial intelligence is becoming increasingly widespread. The need to introduce transparent 'rules of the game' is becoming increasingly pressing. It's important to maintain a balance when regulating AI. On the one hand, the goal is to prevent potential risks from using AI in areas where the cost of error is too high. On the other hand, it's important not to hinder the technology's development or 'stifle' it with regulations. For example, it's important to prevent the use of AI to commit crimes and to recognize its use as an aggravating circumstance in the commission of offenses. This is necessary to protect the interests of citizens. However, there are currently no plans to introduce requirements for the use of AI in businesses (with the exception of critical infrastructure facilities)," added Dmitry Grigorenko.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.