The issue was released under the general theme “The public good is the highest priority of digitalization”.

In her address to readers, the editor-in-chief of the journal Tatiana Ershova wrote:

---

Political events greatly affected the work of publishing the journal. In response to Western sanctions against Russian scientists, the well-known government decree No. 414 of March 19, 2022 “On some issues of the application of requirements and target values ​​of indicators related to publication activity” was issued, in which, until December 31, 2022, the requirements for the presence of publications indexed in the international databases Web of Science and Scopus, as well as the target values of the corresponding indicators were canceled. By new resolution No. 1655 of September 19, 2022, the specified period was extended until the end of 2023.

Almost the next day after the March decision, the life of our peaceful journal, which since 1999 published six to seven articles once every two months, changed dramatically. If earlier we turned to well-known authors with a request to write an article for a journal, or well-known people recommended trusted and highly respected scientists and experts, now everything has changed. We were literally overwhelmed by the flow of materials “from the street”. And it is clear why: the journal “Information Society” is old, reputed and respected in the field of information and communication technologies. In addition, articles here have always been published free of charge, and we, firmly professing the principle of open access to science, were not at all going to turn into businessmen.

The monstrous flow of texts baffled the editors: many of the materials were of unacceptable quality and immediately went to the wastebasket, many were interesting and useful, but required improvement, sometimes serious. And only a small part was of high quality and was accepted with gratitude. The big problem was the slovenliness of the submitters of manuscripts, who did not take the trouble not only to strictly follow the requirements of the Guidelines for Authors, but even to read them to the end. Things got to the point that over the past year 35% of the proposed materials were rejected – unprecedented! Moreover, 16% were rejected immediately, and 19% after the review. But the editors and our distinguished experts worked with each of them, wasting precious time. I even posted a call on the journal’s website to respect the journal and the time of staff and reviewers, but it seems to have only been read by conscientious authors who didn’t need it at all. So I didn’t achieve the result, and, perhaps, even offended good people.

What now? The editorial portfolio is jam-packed with hundreds of pieces. Reviewers who work unpaid for the benefit of science are groaning with overwhelm. Accepted articles – both of very high quality from the very beginning, and brought to the required condition after revision – have accumulated right up to the fifth issue, which will be released only on October 31. The number of articles in the issue has already doubled, but at the same time, a long queue has formed, the authors constantly write and call, we barely have time to issue certificates of acceptance of articles for publication. The editorial board, as they say, “sheathed”, even technical errors began to appear.

We are well aware that this cannot continue, and now we are at a crossroads: to return to the elite past with exclusive materials, or to turn the editorial office into a commercial enterprise. The latter is not very organic for us, so the choice of such a scenario is not easy. However, the year has begun. Let’s see how it turns out…

Dear colleagues, partners and friends!

Congratulations on a glorious holiday – Defender of the Fatherland Day! May each of us contribute to our victory in the name of the peace and prosperity of Russia!

We wish all of you good health and success!

Representatives of the expert community in the field of data discussed methodological recommendations for managing GIS data on the GosTech platform.

Guidelines for data management on the GosTech platform were developed by a group that included representatives of the Ministry of Digital Development of Russia, Federal State Institution “State Technologies” (GosTech), Russian companies and non-profit organizations.

The task of the working group was to study international experience, best practices for data management of the largest companies, as well as adapt them to the public administration.

Grigory Borisenko, Deputy Head of the Ministry of Digital Development of Russia, who supervised the development of the document, commented that the draft document, which received the working title “Data Management Policy on the GosTech Platform”, is aimed at improving the quality and speed of digital public services, ensuring the transition to a data-based management model, as well as reducing the cost of data ownership at all stages of their life cycle.

“In addition to comprehensive regulatory regulation of data circulation within the public administration system, there is an uneven digital maturity of the landscape that we operate with. This, as well as the need to develop competencies in data management, including at the regional level, are taken into account in the plans for the implementation of this policy,” Borisenko added.

“Properly designed processes lie at the heart of data management,” highlighted Maksim Khaitovich, Advisor to the Director of GosTekh.

“The guidelines cover the tasks of data management at the strategic, operational and technological levels. The next step will be the adoption of data management regulations,” Haitovich said.

The experts who took part in the discussion of the guidelines assessed the timeliness of the document and made a number of recommendations for its improvement.

Director of the National Center for the Development of Artificial Intelligence under the Government of the Russian Federation (NTsRII) Sergey Nakvasin proposed creating a checklist based on methodological recommendations for those departments whose tasks in the near future include the creation of 80 datasets.

The expert community supported the GosTech initiative. The need to address several important issues was noted, including the lack of qualified personnel in the regions to replicate data management processes and the need to connect commercial companies to data exchange outside the state structures.

The need to regulate the work with data at the all-Russian level was also noted by Yuri Hohlov, Chairman of the Board of Directors of the Institute of the Information Society:

“It is necessary to develop and adopt a national strategy for working with data (including government data) for digital development, where the corresponding data management policy will be fixed, not only for government, but also for business and the non-profit sector,” the expert said.

Documents on data management on the GosTech platform – policies and regulations – are planned to be approved by the end of 2023.

The text of the guidelines for data management of state information systems created, developed and operated on the single digital platform “GosTech” is posted in the comments.

Source: GosTekh

As of the end of 2022, TC 164 embraces 63 organizations, including the Institute of the Information Society.

Thanks to the activities of the committee, 40 standardization documents have already been approved: 26 national and 14 preliminary national standards. Taking into account the previously developed volume, the national fund of standards in the field of AI amounted to 68 documents. The newly approved standards were developed by the Higher School of Economics, the Russian Institute for Standardization, the Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Department, the National Center for Digital Economy of Lomonosov Moscow State University, the GLONASS/GNSS-Forum Association, the Institute of the Information Society, the Artificial Intelligence Agency, the NNK Consulting company.

54 draft national standards have been developed:

• At the expense of the federal budget, 46 documents were created (17 unique documents, 7 based on international standards, 22 qualimetric standards with test data sets). The Higher School of Economics, the National Center for Digital Economy of Lomonosov Moscow State University, Institute of the Information Society, Volgograd State University, St. Petersburg State Electrotechnical University “LETI”, First Moscow State Medical University named after I.M. Sechenov, Moscow State University of Geodesy and Cartography, Artificial Intelligence Agency and NNK Consulting participated in the development of these documents.
• 8 documents were prepared at the expense of the organizations’ own funds. These organizations are: Yandex, the Higher School of Economics, the National Center for Digital Economy of Moscow State University named after M.V. Lomonosov, Institute for the Development of the Information Society, National Research University ITMO, Omsk State University, NP RUSSOFT, GLONASS/GNSS-Forum Association and Ar Soft.

Russian experts from Lomonosov Moscow State University, St. Petersburg State Electrotechnical University “LETI”, Volgograd State University, the Institute of Philosophy and Law of the Ural Branch of the Russian Academy of Sciences and the Institute of the Information Society took part in the development of 23 draft international standards within the framework of the subcommittee SC42 “Artificial intelligence”.

Draft Roadmaps for standardization of AI in the field of education, transport and healthcare have been prepared. The Perspective Standardization Program in the priority area “Artificial Intelligence” for 2021-2024 has been updated, including the following sections: cross-industry standards, data, information infrastructure, information security, quality, use cases, road transport, air transport, education, healthcare, industry, measurements facilities and construction.

The work was carried out within the framework of the federal project “Artificial Intelligence” and in accordance with the Perspective Standardization Program in the priority area “Artificial Intelligence” for 2021-2024 and the National Standardization Program for 2022.

Let us recall that the Chairman of IIS Board of Directors of Yuri Hohlov acted in TC 164 as the chairman of the subcommittee 02 “Data”, and the head of the IIS Legal Programs Directorate Valentin Padzhev as one of SC2 “Data” key experts.

Source: Report on TC 164 activities in 2022

Dear colleagues, partners, and friends!

The IIS team congratulates you on the upcoming 2023 and wishes you new successes, new hopes and achievements in the new year.

Good health, personal happiness and optimism to all!

Fruitful holidays and happy new year to all!

In her address to readers, the editor-in-chief of the journal Tatiana Ershova wrote:

---

An outstanding son of the Indian people, a man with the widest range of talents, Rabindranath Tagore said: “Close the door to all errors, and the truth will not be able to enter.” This is a very important idea for us, because our journal, serving science for more than 30 years, is trying in every possible way to help in the search for truth. That is why we keep a large list of topics, do not set geographical restrictions, accept articles in Russian and English, and are always open to scientific discussion. By the way, this has become a rarity in our time, so we welcome polemical articles that have never been published before.

We lived another year, and this year was special: due to political events, our scientists had limited access to prestigious foreign journals, and Russian publications were no longer indexed in leading international bibliographic and abstract databases of peer-reviewed scientific literature. This led to a sharp increase in requests for publication of articles in our journal, which since 2015 has been included in the Russian shelf of the Russian Science Citation Index on the Web of Science platform. With the increase in the flow of articles, the percentage of refusals to publish for quality reasons has increased. In addition, new authors are often careless about the requirements for the design of papers, which has led to a huge loss of editorial time. We now reject all articles whose authors show inconsistency in this matter. This year’s rejection rate was 33%, up 8% from last year.

And now let’s sum up the results of the outgoing year. We published 63 articles that covered all the thematic headings of the magazine except for one single one: “Leaders of the Information Society”. The most popular was “The Information Society and Mass Media” (10 articles); followed by “Education in the Information Society” (9), “Information Society and Law” (7), “Social and Economic Aspects of the Information Society” (6). Headings “Digital Economy”, “Human in the Information Society”, “Culture in the Information Society”, “Information Society Technologies” were collected four articles each. The rest of the headings included from one to three works.

The number of our authors was 111, and most of them naturally represented Russia. There are 65 Muscovites among them; 10 authors from St. Petersburg; four from Perm; from Vladivostok, Kazan, Kemerovo, Novosibirsk and Ulan-Ude – three each; from Omsk and Tyumen – two each; from Vladimir, Irkutsk, Kaluga, Nizhny Novgorod, Petrozavodsk and Tver – just one each. 6 authors represented Baku (Azerbaijan) and one – Samarkand (Uzbekistan). Among the authors were two academicians of the Russian Academy of Education, one corresponding member of the Russian Academy of Natural Sciences, 28 doctors of science, 48 candidates of science, 20 specialists without a degree, as well as 7 graduate students and the same number of students who acted as co-authors and independent authors. The academic title of professor bear 18 authors of articles this year, that of associate professor – 25. It is gratifying that among the authors of papers in 2022 there were four members of the Editorial Board of the journal.

On the eve of the new year, on behalf of the entire editorial staff, I would like to thank the authors, reviewers and readers for their cooperation and interest in our journal and wish everyone good health, well-being and success.

On December 7, 2022, at the V Extended Meeting of the Technical Committee for Standardization “Artificial Intelligence” (TC 164) within the framework of the 14th International Conference “Intellectualization of Information Processing” (IOI-2022), at the end of the plenary session, the Certificates of Honor of the Federal Agency for Technical Regulation and Metrology (Rosstandart) were awarded.

Awards were given to:

• Chairman of Subcommittee 01 “Artificial Intelligence in Health” (TC 164) Yuri Vasiliev, Director of the Center for Diagnostics and Telemedicine of the Moscow Health Department;
• Chairman of Subcommittee 02 “Data” (TC 164) Yuri Hohlov, Chairman of the Board of the Institute of the Information Society;
• Head of the Working Group “Artificial Intelligence in Education” (TC 164) Valentin Dzedik, First Vice-Rector of Volgograd State University.

The awards were presented on the basis of the order of the Head of Rosstandart Anton Shalaev dated December 6, 2022 for active participation in the creation of a set of national standards related to AI and the high level of professionalism and responsibility.

On December 7, 2022, an extended meeting of the Technical Committee for Standardization TC 164 “Artificial Intelligence” was held at the site of the Federal Research Center “Informatics and Control” of the Russian Academy of Sciences as part of the 14th International Conference “Intellectualization of Information Processing” (IOI-2022).

The event included plenary and breakout sessions, to which representatives of relevant federal executive authorities, related technical committees for standardization, as well as industry experts were invited. Today, TC 164 unites 63 organizations. As part of its activities, 40 national standards have been developed, and now drafts of new documents are being actively prepared, including those based on international standards.

At the plenary session, the Head of the Department of Innovative Development Institutions of the Department for Strategic Development and Innovation of the Ministry of Economic Development of Russia Nikita Yakunov made a welcoming speech. Then there was a discussion of the results of the activities of TK164 in 2022 and plans for 2023, roadmaps for AI standards in healthcare and education, in road and air transport, and the Advanced Standardization Program in the priority area “Artificial Intelligence” for 2021-2024. Five papers were presented:

1. Sergey Garbuk, Chairman of TK164, Director for Research Projects, National Research University Higher School of Economics
   “The main results, tasks and problematic issues of the activities of TK164”
2. Maria Penkova, executive secretary of TK164
   “On the implementation of TK164 plans for 2022 and plans for 2023”
3. Anton Vladzimirsky, Deputy Chairman of the Subcommittee PC01 “Artificial Intelligence in Healthcare”, Deputy Director for Research at the Research and Development Center for Diagnostics and Telemedicine Technologies of the Moscow Health Department
   “Results of work and plans of SC01”
4. Yuri Hohlov, Chairman of the subcommittee SC02 “Data”, Chairman of the Board of Directors of the Institute of the Information Society
   “Results of work and plans for SC02” (in Russian)
5. Valentin Dzedik, head of the working group “Artificial Intelligence in Education” TK164, First Vice-Rector of Volgograd State University
   “On the development of a roadmap for the standardization of artificial intelligence in the field of education”

Further, the ceremony of signing agreements on interaction with related technical committees TK267 “Road-building machines and equipment” and TK371 “Non-destructive testing” took place.

Here is the recording of the plenary session (in Russian, access code: ?ItC+4za).

At the meeting “Cross-sectoral issues of artificial intelligence”, reports were made on topical scientific problems of technology development: standards for working with data, natural language understanding, explainable AI (XAI), fundamental aspects of standardization, AI in the digital industry. After that, a panel discussion was held with representatives of the Ministry of Economic Development of Russia, the Analytical Center under the Government of the Russian Federation, the National Center for the Development of AI under the Government of the Russian Federation, the Codex consortium, the Big Data Association, Okenit JSC. The participants discussed issues of coordination in the development of national standards, expressed their recommendations for improving the effectiveness of cooperation.

The next event was the sectional scientific and methodological meeting “Cross-sectoral issues of standardization of artificial intelligence”, which was held by Subcommittee 02 “Data” (PC02) of the Technical Committee for Standardization “Artificial Intelligence” (TK164). It was held in the form of an extended meeting of SC02 / TK164 and the 14th International Conference “Intellectualization of Information Processing” (IOI-2022).

Representatives of state bodies (Ministry of Economic Development of Russia, Ministry of Digital Development of Russia, Rosstandart), industry associations (Alliance in the field of artificial intelligence, Big Data Association; ANO Digital Economy; Committee of the Russian Union of Industrialists and Entrepreneurs on Technical Regulation, Standardization and Conformity Assessment), related technical committees, scientific and educational organizations (Lomonosov Moscow State University, Federal Research Center “Computer Science and Management” of the Russian Academy of Sciences), experts in technical regulation and standardization were invited to participate in the event.

At the meeting, scientific reports were presented on topical issues of the development and use of technologies for working with big data in artificial intelligence systems, as well as the place and role of standards in these processes.

Within the framework of the section, a panel discussion was held in full-time format with the participation of representatives of government bodies, business, industry associations and the scientific and educational community. It featured four scientific presentations:

1. Konstantin Vorontsov, acting Head of the Department of Mathematical Methods of Forecasting, Faculty of Computational Mathematics and Cybernetics, Head of the Laboratory of Machine Learning and Semantic Analysis, Institute of Artificial Intelligence, Lomonosov Moscow State University
   “Natural Language Understanding Challenges: Towards Standardization of Markup and Model Estimation” (in Russian)
2. Mikhail Zabezhailo, Chief Researcher of the Federal Research Center for Informatics and Control of the Russian Academy of Sciences, Professor of the Moscow University of Physics and Technology
   “On some fundamental aspects of standardization in the field of artificial intelligence” (in Russian)
3. Alexander Raikov, Leading Researcher, Trapeznikov Institute of Control Problems of RAS, member of the Supervisory Board of the Institute of the Information Society, scientific consultant of the supercomputer center in Jinan (China)
   “Explainable Artificial Intelligence: Aspects of Standardization” (in Russian)
4. Sergei Golovin, Chairman of TC/MTK 022 “Information Technologies”, Chairman of the Intersectoral Council for IT Standardization of the RSPP Committee on Industrial Policy and Regulation
   “Standardization, digital industry and artificial intelligence” (in Russian)

After that, a panel discussion was held, moderated by Yuri Hohlov. The following took part in the discussion:

• Svetlana Dmitrieva, Deputy Director of the Production Department, Director for SMART technologies of the Kodeks consortium
• Alexey Neiman, Executive Director of the Big Data Association.
• Pavel Elsukov, Project Manager of the Analytical Department of the National Center for the Development of Artificial Intelligence under the Government of the Russian Federation.
• Sergey Astakhov, Deputy Head of the Department for Research Centers in the Field of Artificial Intelligence, Analytical Center under the Government of the Russian Federation.
• Andrey Petrov, Leading Researcher, OKENIT JSC.
• Evgeniy Osadchuk, Deputy Director for Federal Projects, Digital Transformation of Industries, ANO Tsifrovaya ekonomika.
• Andrey Ignatiev, Head of Analytical Department, Center for Global IT Cooperation.

In a traditional address to readers, editor-in-chief Tatiana Ershova writes:

---

More and more materials coming to the editors of our journal touch upon the problems of artificial intelligence. This all-pervading phenomenon instills many hopes and fears in its creators – people. Elon Musk, the founder of Tesla and SpaceX, sees artificial intelligence as a threat to humanity, since the actions of algorithms are not limited by anything. “Artificial intelligence is a case where you need to be far-sighted in matters of regulation, otherwise it may be too late,” he says.

The time has come for a comprehensive understanding of AI. And it seems to me that this should start with natural intelligence in the context of a rapidly digitalizing world. I immediately thought of Schopenhauer. What did he say about intelligence? “Ordinary people only think about spending time; those who have any talent, they want to use this time. – If one-track minds are so prone to boredom, it is because their intellect serves only as an intermediary of motives for their will. If, however, there is no food for the perceiving ability in any motives, then the will remains at rest and the intellect in idleness: both are equally incapable of self-activity. (A. Schopenhauer. Complete Works. Vol. III (1910).

I think this reasoning applies to artificial intelligence as well. Ordinary people are unlikely to get confused about it. Another thing is people who are “talented” or simply charged with some kind of serious energy. These are the ones Elon Musk cares about: “I’m more scared that AI will fulfill the desires of people who put their intentions into the algorithm, but they don’t always turn out to be good.” Be that as it may, the topic of AI is extremely interesting for us, and we strongly welcome articles covering various aspects of it. For example, in this issue of the journal we publish two articles on AI technologies – one of them is devoted to their use in the field of education, the other – in the field of astronomy.

But in general, today’s issue is a real benefit performance of the Editorial Board of our journal, because articles here are written (either alone or in collaboration) by four of our respected comrades: professors Konstantin Kolin, Alexander Bogdanov, Elena Vartanova and Alexander Raikov. This makes the issue exclusive and sets the highest quality standards.

The authors of the issue represent such regions of Russia as Moscow (13), St. Petersburg (5), Perm (2), Tyumen (2), Kaluga (1). Among the authors there is also a resident of Samarkand (Uzbekistan). Present here is an academician of the Russian Academy of Education, an academician of the International Academy of Education, an academician and corresponding member of the Russian Academy of Natural Sciences. 13 authors of the articles have the degree of doctor of science, 8 – candidate of science. 8 authors have the academic title of professor and 8 – associate professor. Among the authors of the articles there are also two graduate students, two masters and one student who prepared their papers either as part of a team or under the guidance of experienced scientists and researchers.

Today’s articles are divided into 8 thematic headings. The largest number of articles is concentrated in the headings “Education in the Information Society” and “Information Society and Mass Media”.

---

All content of the issue is available on the journal’s digital platform.

By Decree of the President of the Russian Federation No. 713 dated October 7, 2022, for the achieved labor successes and many years of conscientious work, the honorary title “Honored Worker of Science of the Russian Federation” was awarded to Alexander Elizarov – Doctor of Physical and Mathematical Sciences, Professor of the Institute of Information Technologies and Intelligent Systems of the Federal State Autonomous Educational Institution of Higher Education education “Kazan (Volga Region) Federal University”, Republic of Tatarstan.

A.M. Elizarov stood at the origins of the creation of our institute: in September 1998 he became one of its founders and all these years he headed the Directorate of Educational Programs.

We sincerely congratulate our colleague and close friend on being awarded the high title and wish you good health and further achievements in science and teaching!