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RVC and Rosstandart hold the first meeting of the Technical Committee on Artificial Intelligence

07.08.2019

The committee consisted of representatives of about 80 companies, research organizations, universities and authorities, including Sberbank, Yandex, MGTS, Russian Railways, and Moscow State University named after M.V. Lomonosov, Moscow Institute of Physics and Technology, Higher School of Economics, St. Petersburg Polytechnic University, Research Centre Kurchatov Institute, etc. During the meeting, it was decided to create within the committee five working groups in the areas of Fundamental Standards, Big Data, Quality of Artificial Intelligence Systems, Applied Artificial Intelligence Technologies, and Artificial Intelligence in Education.

The Artificial Intelligence Technical Committee for Standardization (TC 164) was created based on the RVC following the order of Rosstandart to increase the efficiency of work on the development of the regulatory and technical base in the field of AI.

"The development of national standards for artificial intelligence technologies is a long-overdue task. It is necessary to develop uniform rules for all market players, since significant funds will be invested in this area, including state ones. But in addition to internal tasks, there are also external ones. Russia should take an active part in creating global standards of intelligent technologies and occupy its niche in this area," said Alexander Povalko, General Director of RVC.

The deputy head of Rosstandart Anton Shalaev noted that the federal law that entered into force in 2016 made technical committees the central link in the national standardization system.

"Within the framework of the committees, a standards development program is being formed, and first editions are being developed, examination and voting are underway. It is they who submit the draft standards for approval to Rosstandart. Those developments that will be made within the framework of the technical committee must be promoted at the international level so that Russian standards eventually become international. There are more and more such examples in the work of the shopping centre," he said.

The Chairman of the TC Artificial Intelligence Sergey Garbuk noted that one of the main tasks of the new committee is to standardize the general procedures for confirming the characteristics of trust and the functional characteristics of intelligent systems:

"The limiting factor in the development of AI technologies associated with the shortcomings of regulatory and technical regulation is the lack of trust in them among consumers of these technologies. First of all, this is the lack of guaranteed quality of work and the opaque logic of decision-making by the intelligent system. At the same time, the applied tasks of AI are extensive. These are medicine, industry and construction, transport, law, the financial sector, natural resources management, security, marketing, and retail."

Sergey Garbuk also presented the structure and tasks of the five working groups formed in the committee.

The organization responsible for the Big Data working group was Moscow State University named after M.V. Lomonosov. The leading specialist of the Big Data Storage and Analysis Centre of Moscow State University Sergey Afanasyev spoke about the plan of the working group for 2019-2020.

“The group will participate in the development of standards in the field of big data in accordance with the long-term standardization plan in the field of advanced production technologies for 2018-2023. She will also participate in the development of three international standards for Big Data,” said Sergey Afanasyev.

Sberbank Executive Director Andrei Neznamov spoke about the challenges facing the working group named Applied Artificial Intelligence Technologies:

"It is necessary to create a regulatory and technical base and a system for assessing the conformity of technological and software solutions based on AI. They should be aimed, among other things, at ensuring the reliability of the results of such decisions. We will develop international cooperation in standardization in the field of AI, including through the International Organization for Standardization, the International Electrotechnical Commission, and the International Telecommunication Union."

The area of work of the Artificial Intelligence in Education working group was presented by Anthony Shvindt, Head of the Laboratory for Digital Transformation of Education, Institute of Education, HSE:

"This is the standardization of the requirements for educational materials to form personal, educational trajectories using AI. Each student in the process of studying has a unique "digital footprint". This information is about how well he studied, what he was interested in, and what he was indifferent to. These signs of educational activity will be used to create standards for its further use."

According to him, the standardization of requirements for educational platforms is also necessary for the integration of the latest intelligent technologies.



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