Standards in Artificial Intelligence in Healthcare
Main article: Standards in Artificial Intelligence in Healthcare
2025: Standard for application of AI in critical information infrastructure prepared
Technical Committee No. 164 of Rosstandart "Artificial Intelligence" in mid-October[1] on its website the final version of the draft standard GOST R "Artificial Intelligence in Critical Information Infrastructure. General provisions. " Its public discussion took place from June 7 to August 8, 2025. After the final version of the text is prepared, it should be approved as a standard, registered with the assignment of a number and published.
The essence of the proposals of GOST
The draft regulatory act was developed by the Federal State Budgetary Institution "Russian Institute of Standardization" together with the specialists of the company "A-Ya expert." The standard in terms of definitions is based on GOSTs on artificial intelligence, standardization and information protection. It also uses terms from Law No. 187-FZ "On the Safety of CII" and the relevant orders of the FSTEC. The document defines such concepts as "threat to the information security of an artificial intelligence system," "stability of the functioning of artificial intelligence systems" and even "constant serious threats" (APT). There is also a reference to the MITRE ATT&CK matrix developed by the American corporation MITRE.
The standard is supposed to be used in the processes of design, development, commissioning, operation, maintenance and decommissioning of artificial intelligence (SI) systems, including trusted ones, as part of software and hardware complexes of critical information infrastructure facilities.
In accordance with the provisions of the document, the application of AI in CII should be based on the following principles:
- Information security. SIS shall be designed, developed and implemented with protection against external and internal threats;
- Reliability and controllability. IMS shall function in accordance with the tasks to be solved and remain operable under the influence of various destabilizing factors;
- Explainability. The functioning of A.I.s should be understood and interpreted by humans, especially in terms of critical decision-making;
- Powers of Attorney. AI with the highest criticality levels (1 or 2) must be trusted;
- Protection against unauthorized access. IMS shall provide protection against any forms of unauthorized access and impact on their own functioning;
- Maintaining human control over critical functions. The IC should provide for the interpretability of decisions made and the possibility of their audit;
- Continuous improvement. For solutions, a regular analysis should be carried out, an increase in the accuracy of the result and an improvement in the measures to protect the SI, taking into account the emergence of new threats and vulnerabilities.
The standard lists the possible classification of AI solutions, methods of risk management when using them, monitoring and control tools, incident response plans and possible organizational measures. For a possible improvement in the security of artificial intelligence systems, the text defines reporting indicators, possible methods for checking them and metrics for the effectiveness of protection.
 | The emergence of the standard can be considered as a signal: the state is gradually building an approach to regulating technologies, getting acquainted with their specifics and preparing for a more detailed study of the quality and safety of AI solutions, - said Vladislav Lapshin, head of the development group of the IT company Simpl Group. - In fact, this is a stage of restoring order in terminology and definitions. In the future, I think, on the basis of such documents, more applied regulations and guidelines will appear. |  |
Impact on the AI market
According to Alexei Zakharov, director of technology consulting at Axiom JDK, the document defines the following areas for regulation:
- Create a single regulation for all process participants: developers, integrators, operators;
- Introduction of 4 criticality levels: from 1 critical - SI, which play a key role in ensuring information security and continuity of functioning of CII objects, to 4, low SI;
- Mandatory identification of threats: verification of data quality, uncontrolled behavior of AI systems, dependencies on external components and suppliers, as well as the creation of a threat model;
- Assessment of risks, vulnerabilities, information security threats and potential damage, which should be ensured at all stages of the life cycle of the SI: from design to decommissioning of the system;
- Develop internal security policies for ISIs in organizations to ensure access control, plans for the restoration and continuity of solutions, as well as regular exercises related to the response to possible incidents and events;
- Ensure continuous control of the person over the critical functions of the SI and regular checks of the quality of functioning and safety: from annual to monthly for the most critical systems.
| | The developed GOST provides the subjects of KII with a regulatory basis for the safe and regulated introduction of artificial intelligence systems in key sectors of the economy, - explained for TAdviser the importance of the document Ekaterina Edemskaya, an analyst engineer at Gazinformservice. - First of all, the document allows solving the problems of ensuring information security when using AI in such areas as power, transport, healthcare, defense and nuclear industry, finance and others that are part of the CII in accordance with Law No. 187-FZ. | |
Artificial intelligence technologies in most projects have not left the pilot state - they are not trusted with access to critical infrastructure and in making responsible decisions. That is why unified approaches to building a system of protection for AI are important, which would legitimize the use of artificial intelligence, including in critical information infrastructure.
| | Previously, the use of AI in KII was avoided by everyone due to the novelty of AI technology and concerns about its use in KII, "Vadim Sabashny, CEO of LANIT-Terkom, told TAdviser. - Also, AI technologies provide probabilistic results, which, again, reduces confidence in them and raises doubts about reliability. That is why GOST can open the road for AI in KII in those cases that were previously blocked already at the discussion stage. | |
The standard defines the most common approaches to building secure SIS. At the same time, the document does not consider specific aspects of building systems based on artificial intelligence - this is noted by some experts.
| | The standard does not mention threats and specific requirements for the protection of LLM systems, which are used as the basis in most modern AI in KII, - said TAdviser Andrey Timoshenko, Development Director of Informzaschita. - There is not a word about prompt injection, critical vulnerability No. 1 on OWASP LLM Top 10 2025, which allows attackers to manipulate the behavior of language models. Ignored jailbreaking attacks, indirect prompt injection via external sources (web pages and e-mail), attacks on RAG systems and chain-based architectures. | |
Andrei Timoshenko also noted that the GOST project operates on categories of traditional ML systems and does not contain a single mention of agent AIs, which in 2025 have already become the main trend in the introduction of AI in large organizations and represent a fundamentally new paradigm with unique attack vectors. In addition, the document does not consider federated learning (FL), which can be used in CII, where centralized data collection is impossible, and this technology has specific vulnerabilities. Also, the document only superficially addresses the problem of attacks on the supply chain of the AI model in the form of the requirement of "trusted models," although checking dependencies can be quite difficult.
| | For the market, the entry into force of GOST will not be a revolution: companies working with critical infrastructure are already reporting and building information security policies, - said Maxim Milkov, head of Artificial Intelligence at Softline Solutions. - The main change is the formal extension of these requirements to AI components. This will require the introduction of specialized approaches to model risk management, the use of MLSecOps processes and monitoring systems to improve the reliability and transparency of artificial intelligence. | |
Alternatives
However, in Russia, general approaches to building the protection of systems that use artificial intelligence mechanisms are already being developed. In particular, this technique was developed by Swordfish Security, and its provisions are harmonized with the provisions of the developed standard.
| | National project "Artificial intelligence in critical information infrastructure. General provisions "is a framework GOST for KII facilities in the Russian Federation, - said Albina Askerova, head of the department for interaction with regulators at Swordfish Security. - Specialists of our company took part in its consideration and made necessary proposals for refinements from the point of view of its practical application. In parallel, as experts in cybersecurity, we have developed an AI Security framework. When developing it, we, among other things, took into account the provisions of the draft of this standard, the domains of the framework fit into its structure. | |
2024
GOST in the field of artificial intelligence for 3D printing approved in Russia
In mid-November 2024, Rosstandart approved GOST R 71688-2024 - "Artificial Intelligence. Data sets for the development and verification of machine learning models for indirect measurement of the physical and mechanical properties of additive production objects. General requirements. " The document was developed by the Federal State Budgetary Institution "Russian Institute of Standardization." Read more here.
Approval of GOST in the field of AI for routing patient flows
At the end of October 2024, Rosstandart approved the preliminary national standard (PNST) 962-2024 - "Systems for routing and optimizing patient flows based on artificial intelligence. Basic provisions. " The document was developed by the State Budgetary Health Institution "Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Department of Health" (GBUZ "NPCC DiT DZM"). Read more here
The AI standard in the machine tool industry has been approved in Russia
In early November 2024, Rosstandart approved the preliminary national standard (PNST) 964-2024 - "Artificial intelligence technologies in the machine tool industry. Use Cases. " The document was developed by the Association "Digital Innovations in Mechanical Engineering" (ACIM). Read more here
The standard of AI in mechanical engineering has been adopted in Russia
On October 11, 2024, the Federal Agency for Technical Regulation and Metrology (Rosstandart) approved the preliminary national standard (PNST) 955-2024 "Artificial Intelligence in Mechanical Engineering. Use Cases. " The document was developed by the Federal State Budgetary Institution "Russian Institute of Standardization." Read more here
The standard of AI in augmented and mixed reality has been approved in Russia
On October 22, 2024, the Federal Agency for Technical Regulation and Metrology (Rosstandart) approved GOST R 71718-2024 - "Technologies of artificial intelligence in augmented and mixed reality. Visual control of indirect geometric parameters of capital construction facilities. General provisions. " Specialists from AR SOFT LLC and Gazprom Neft PJSC took part in the development of the document. Read more here.
Approval of the deep neural network standard
In early November 2024 Russia , the preliminary national standard (PNST) 945-2024 was adopted. " Artificial intelligence Technical structure for the separation and joint execution of the deep neural network model. " More here
GOST "Systems for Supporting Medical Decision-Making Using Artificial Intelligence" approved in Russia
On October 29, 2024, it became known that a new state standard GOST R 71671-2024 "Systems for Supporting Medical Decision-Making (SPPVR) Using Artificial Intelligence" was put into effect in Russia, aimed at regulating the use of artificial intelligence (AI) in medical systems. GOST is approved by the Federal Agency for Technical Regulation and Metrology and will enter into force on January 1, 2025. The standard was developed by the Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Department of Health. Read more here.
GOST for AI analytics systems in clinical medicine approved in Russia
At the end of October 2024, GOST R 71672-2024 "Predictive Analytics Systems Based on Artificial Intelligence in Clinical Medicine" was approved in Russia. Basic provisions. " The document was developed by the State Budgetary Health Institution "Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Department of Health" (GBUZ "NPCC DiT DZM"). Read more here
GOST AI in education approved in Russia
In early October 2024, GOST R 71657-2024 "Technologies of artificial intelligence in education" was approved in Russia. Functional subsystem for the creation of scientific publications. General provisions. " The document was developed by the Federal State Autonomous Educational Institution of Higher Education "Volgograd State University" (FSAEI HE VolSU).
In Russia,
It is noted that the functional subsystem for creating scientific publications is included in the education system as an important part of it, providing not only documentation of the results of research activities, but also the formation of appropriate competencies among students, including schoolchildren, undergraduate students, specialists and masters, as well as graduate students. The published standard contains:
- The main stages of implementation of the functional subsystem at the stages of creation of a scientific publication;
- Recommendations and examples on the use of specific AI systems in solving various problems that arise when creating a scientific publication;
- Data protection requirements;
- Recommendations for managing data quality risks in the functional subsystem.
The provisions of the standard describe the use of AI in order to increase the effectiveness of the creation of scientific publications. The use of such tools should be carried out in an ethical way and should not replace the creative research activities of man. Organizations, as noted, should develop and ensure compliance with the criteria and procedure for the use of AI technologies. In addition, it is necessary to provide for risk management capabilities, for example, the ability, based on mining and machine learning, to identify and predict possible future risks inside and outside the functional subsystem in terms of accuracy, completeness, reliability, relevance, availability, compliance, confidentiality, efficiency, intelligibility, portability and recoverability of data.[2]
GOST "Artificial Intelligence on Water Transport" approved in Russia
In October 2024, it became known about the approval in Russia of GOST R 71598-2024 - "Artificial intelligence systems in water transport. General provisions. " The document establishes the general norms and scope of application of AI technologies in this area.
The document covers the use of AI algorithms and methods throughout the life cycle of solutions in the field of water transport - this is design, development, testing, implementation and operation. The standard applies to a wide range of applications, including vessel navigation, cargo flow monitoring, intelligent port management, predictive maintenance, and improved safety. GOST applies to the use of AI in river and sea transport operations, as well as in various water vessels, terminals and port infrastructure.
The new GOST is intended for all stakeholders involved in the development, implementation and management of AI technologies. It is noted that the standard serves as a guiding document ensuring the integration of AI systems into the water transport industry. Without defining the specific technical details of AI algorithms, the standard establishes general requirements, intellectualization aspects, and considerations of security, reliability, performance, compatibility, and data protection.
The document, in particular, says that the development and implementation of AI systems must comply with all necessary safety standards and regulatory requirements in order to minimize the risk of accidents and protect people's lives, the environment and economic interests. Maintenance and upgrades are required to maintain the performance and security of AI systems. Water transport enterprises should create mechanisms for continuous monitoring and learning from operations using AI systems. In general, the standard is intended to promote confidence in AI-based solutions, ultimately improving the safety, efficiency and sustainability of water transport systems.[3]
2023
Russia and India have begun to standardize artificial intelligence
On September 30, 2023, the Russoft Association, the Chamber of Indo-Russian Technological Cooperation (Chamber for Indo Russo Technology Collaboration, CIRTC) and the Russian Technical Committee No. 164 of the Rosstandart of the Russian Federation "Artificial Intelligence" signed two memoranda of intent for cooperation aimed at developing relations between Russia and India in the IT region. One of the documents concerns the standardization of AI, as well as the creation of a joint laboratory for certification of solutions in the field of artificial intelligence.
| | A historic memorandum of understanding was signed to establish a joint AI testing, standards and policy laboratory between India and Russia. This initiative, which in the future can be extended to other BRICS countries, - commented Debjit Chakraborty, director of the chamber for Indo-Russian technological cooperation, representative of the Russian-Indian Association (Russia India Special Interest Group, RISING), whose words are quoted by the Russoft press service. | |
On October 23, 2023, Russoft President Valentin Makarov clarified that the partnership participants had already created a working group and began to develop standards for solutions in the field of artificial intelligence.
According to him India , a laboratory will also appear in which AI solutions will be certified health care , agriculture will be the first industries for standardizing AI solutions, and the first results of work are expected by April 2024.
| | Standards are needed first of all so that the solutions of Russian developers immediately meet the standards in India and they can enter the Indian market without additional licensing... We want to create standards common to the BRICS countries in order to minimize the overhead costs of vendors and create equal conditions for the development of companies, "Makarov explained.[4] | |
The Ministry of Digital Development Science forms the standard of personal data for artificial intelligence
At the end of June 2023, it became known that the Ministry of Digital Development creates a standard for personal data for systems and services using artificial intelligence tools.
According to the Vedomosti newspaper, the Ministry of Digital Development, together with participants in the IT industry, is unifying methods for depersonalizing personal data (PD) and working with them for subjects of critical information infrastructure (CII). Such entities include, in particular, government agencies, telecom operators, etc. It is assumed that in the future the accumulated data will be used to train various AI algorithms or language models. According to Deputy Head of the Ministry of Digital Development Alexander Shoytov, the requirements for unification and standardization should be proposed to the state by the developers of AI systems themselves.
| | We have the task of developing unification methods for artificial intelligence. This is the starting point, precisely in critical applications (for CII subjects). Where there will be no critical applications, this unification will probably not be mandatory, "Shoitov said. | |
It is noted that work on the methodology in the field of personal data depersonalization has already begun. State Duma The draft law on regulatory regulation of one of the approaches to depersonalization of PD has been introduced. This is necessary in order to exclude "damage to a specific citizen." Roskomnadzor They also note that "any processing of PD of Russian citizens, including using AI, must comply with the requirements of legislation in the field of protecting the rights of personal data subjects."
The National Center for AI Development operates in Russia, and the government provides grants for small and medium-sized businesses implementing artificial intelligence projects. By 2024, it is planned to bring the introduction of AI in the Russian economy to 50%.[5]
Access to more than 60 standards in the field of artificial intelligence
Rosstandart provided open access to more than 60 standards in the field of artificial intelligence, prepared by the Technical Committee for Standardization No. 164 "Artificial Intelligence," in order to promptly ensure the accelerated pace of development of the artificial intelligence industry in Russia. The corresponding proposal was put forward by Sberbank, which is the competence center of the federal project "Artificial Intelligence." Sberbank announced this on June 14, 2023.
The active development and adoption of artificial intelligence technologies contribute to the achievement of technological independence countries in this area. The President RUSSIAN FEDERATION Vladimir Putin at the end of 2022 announced the need for the mass introduction of artificial intelligence in various spheres of life: "The implementation should cover all industries, economies the social sphere and the public administration system."
The decision to provide open access to standards in the field of artificial intelligence was made by Rosstandart to promote the implementation of the national strategy for the development of artificial intelligence for the period up to 2023, approved by the decree of the President of the Russian Federation, one of the main directions of which is the creation of unified standardization systems and conformity assessment of technological solutions developed on the basis of artificial intelligence.
On the official website of the department, access to a number of standards is open, such as:. " Information Technology Artificial intelligence. Process control structure for analysis big data (ISO/IEC 24668:2022), "" Artificial intelligence systems on. automobile transport Highly automated vehicles. Terms and Definitions, "" Artificial Intelligence Systems in Clinical. to medicine Basic Provisions "and others.
The provision of open free access to international and national technical standards will allow assessing the relevance of existing standards, making changes to them if necessary and receiving feedback from the Russian community of artificial intelligence developers.
{{quote 'author=said Anton Shalaev, head of Rosstandart. | The development and subsequent provision of access to standards is aimed at increasing the efficiency of the creation and implementation of artificial intelligence technologies in various sectors of the economy and social sphere. Russia is one of the leading countries in terms of the number of national standards that determine the requirements for the use of such technologies,}}
{{quote 'author=noted Alexander Vedyakhin, First Deputy Chairman of the Board of Sberbank. | Sberbank supports Rosstandart's decision to open access to standards in the field of artificial intelligence, because this will help accelerate the development of new technologies in the country. We are confident that the Russian community of developers will show great interest in such an initiative, and we expect constructive feedback from specialists and proposals for updating standards. Bringing standards into the public domain is part of the large-scale work of the state and business, which is aimed at ensuring that, in parallel with the improvement of artificial intelligence systems, regulation develops dynamically, and it must ensure both progress in this vital area of knowledge and consumer safety,}}
In order to systematize work in the field of artificial intelligence, Rosstandart, together with the Ministry of Economic Development of the Russian Federation, approved a promising standardization program in the priority area "Artificial Intelligence" for the period 2021 − 2024 as part of the implementation of the federal project "Artificial Intelligence" of the national program "Digital Economy of Russia," which contains 217 topics.
EU sets world's first standard for AI systems
In May 2023, the European Parliament (EP) passed the AI Act bill, which became the world's first rules and standard for artificial intelligence.
| | AI systems with unacceptable levels of risk to human safety will be strictly prohibited. These include systems that use subconscious or targeted manipulative methods that exploit people's vulnerabilities or are used for social scoring (classifying people based on their social behavior, socio-economic status, personal characteristics), the EP said in a statement. | |
According to the document, the goal of the deputies of the European Union (EU) is to establish the world's first rules for artificial intelligence and put AI systems under the control of people, making them safe, transparent, traceable and non-discriminatory.
In accordance with accepted standards, developers of high-risk artificial intelligence must:
- conduct a risk and compliance assessment;
- register their systems in the European AI database;
- ensure high quality of data used for AI training;
- ensure transparency and awareness of users;
- ensure effective human oversight and the possibility of intervention;
- ensure safety and reliability of AI systems.
As for "low-risk" AI, such as chatbots, its suppliers are obliged to inform users that they are interacting with AI, and not with humans. For generative models, another requirement is added - to inform users that the content is created by a neural network.
In general, companies using various AI tools will have to assess their potential risks in terms of "health, safety, fundamental rights, the environment, democracy and the rule of law," the document says.[6]
Rosstandart ordered the development of AI standards for medicine, education and transport for 130.4 million rubles
On March 1, 2023, it became known about the tender announced by the Federal Agency for Technical Regulation and Metrology (Rosstandart) for the development of artificial intelligence standards in education, medicine and transport. The department is ready to spend 130.4 million rubles on this contract.
According to CNews with reference to the terms of reference for the competition, the winner (it is planned to choose it by March 22, 2023) will have to develop the final version of national AI standards in the field of education and for the use of artificial intelligence systems in road transport (AI systems for managing transport off public roads).
Also, within the framework of the work, the main provisions and ethical aspects will be prepared when using AI systems in healthcare, radiation diagnostics, for making medical decisions and building forecasts in clinical medicine.
Among other things, the work includes the development and preparation for the approval of national standards, as well as the justification of the principles of consolidation in regulatory and technical documents of the requirements for the creation and operation of AI systems aimed at reducing the possible damage to Russia's security from the use of artificial intelligence.
The purpose of the work is, among other things, to harmonize national standards with international standards and update the fund of standards in the field of artificial intelligence. The work must be completed by November 29, 2024.
By the beginning of March 2023, Russia is implementing a national strategy for the development of artificial intelligence. It provides for 24.1 billion rubles of budget funds, as well as 5.1 billion rubles from extrabudgetary sources, the newspaper notes.[7]
2022
Developed the first GOST in Russia for testing artificial intelligence
In early August 2022, it became known about the creation of the first GOST in Russia for testing artificial intelligence. We are talking about the development of the Center for Diagnostics and Telemedicine of the Moscow Department of Health.
According to Anastasia Rakova, deputy mayor of the capital for social development, by the beginning of August 2022, the document has already been approved and will begin to be applied from September 1, 2022.
The new document regulates the requirements for clinical trials of neural networks. According to the developed GOST system, specialists will receive an accurate assessment of whether the product meets the declared characteristics of accuracy, effectiveness and whether it carries risks to the patient's health.
Clinical evaluation involves three stages. First, analytical validation confirms the ability of artificial intelligence systems to accurately, reproducibly, and reliably process data. The evaluation of the clinical link then shows the conformity of the output of such systems to the stated functional purpose. And finally, within the framework of clinical validation, the effectiveness of the system is confirmed - the ability to produce clinically significant results.
According to the Moscow mayor's office, earlier national standards were adopted and entered into force for the introduction of artificial intelligence systems in clinical medicine, they were also developed by metropolitan radiologists.
| | We have gained vast experience in the field of the use of artificial intelligence in healthcare. In March 2022, the development of our doctors in this industry formed the basis of uniform national standards for the use of advanced technologies in medicine. We are moving on - Moscow specialists have developed GOST for testing artificial intelligence systems, - said Rakova, whose words are quoted on the official website of the mayor of Moscow.[8] | |
Rosstandart approved GOST for AI systems in agriculture
The Federal Agency for Technical Regulation and Metrology () Rosstandart approved the national standard of the Russian Federation GOST "Systems () in artificial intelligence AI Agriculture. Requirements to Ensuring Operational Safety Characteristics of Automated agricultural Motion Control Systems. " The document, designed to secure the use of systems with AI in, AGRARIAN AND INDUSTRIAL COMPLEX as well as accelerate the introduction of domestic developments in the industry, was jointly developed (Cognitive Pilot joint venture and) and. "Sberbank" Cognitive Technologies Higher School of Economics (HSE) More. here
2019
3 of the main trends of artificial intelligence in 4 minutes
The fourth issue of the TAdviser podcast was recorded by Svetlana Vronskaya, author of the Analytics Now Telegram channel. Its theme is the main events in the Artificial Intelligence (AI) market that took place in 2019.
Rosstandart approved the first standards in the field of AI
The Federal Agency for Technical Regulation and Metrology (Rosstandart) approved in December 2019 the first national standards in the field of artificial intelligence - GOST R 58776-2019 "Means of monitoring behavior and predicting people's intentions. Terms and definitions "and GOST R 58777-2019" Air transport. Airports. Inspection equipment. Methodology for determining the quality of recognition of illegal attachments from shadow X-ray images. "
The standard is designed to ensure effective communication of intelligent robotic systems (including unmanned vehicles) with humans. The interaction of intelligent systems consists in predicting each other's intentions and determining further actions based on this forecast. Behaviour prediction can also be used to identify people with criminal intent.
The second adopted standard, GOST R 58777-2019, establishes uniform requirements for systems and algorithms for recognizing illegal contents of luggage and hand luggage from X-ray images. The standard will also improve the reliability of the test results of systems and algorithms.
The standards were developed by St. Petersburg Polytechnic University of Peter the Great and come into force on September 1, 2020.
ISO/IEC experts supported the proposal to develop a standard in Russian
On April 16, 2019, it became known that the ISO/IEC subcommittee on standardization in the field of artificial intelligence supported the proposal of the Technical Committee "Cyber Physical Systems," created on the basis of RVC, to develop the standard "Artificial intelligence. Concepts and terminology "in Russian in addition to the basic English version.
Terminology standard "Artificial intelligence. Concepts and terminology "is fundamental to the entire family of international regulatory and technical documents in the field of artificial intelligence. In addition to terms and definitions, this document contains conceptual approaches and principles for building systems with AI elements, a description of the relationship of AI with other end-to-end technologies, as well as basic principles and framework approaches to the regulatory and technical regulation of artificial intelligence.
Following the meeting of the relevant ISO/IEC subcommittee in Dublin, ISO/IEC experts supported the proposal of the delegation from Russia to synchronously develop the terminology standard in the field of AI not only in English, but also in Russian. The document is expected to be approved in early 2021.
| | author '= Nikita Utkin, RVC Program Manager, Chairman of the Cyber-Physical Systems TC The development of products and services based on artificial intelligence requires an unambiguous interpretation of the concepts used by all market participants. The terminology standard will unify the "language" in which developers, customers and the professional community communicate, classify such properties of AI-based products as "security," "reproducibility," "reliability" and "privacy." Unified terminology will also become an important factor for the development of artificial intelligence technologies within the framework of the National Technology Initiative - AI algorithms are used by more than 80% of companies in the NTI perimeter. In addition, the ISO/IEC solution will strengthen the authority and expand the influence of Russian experts in the further development of international standards. | |
During the meeting, ISO/IEC experts also supported the development of the draft international document Information Technology - Artificial Intelligence (AI) - Overview of Computational Approaches for AI Systems, in which Russia acts as co-editor. The document provides an overview of the current state of artificial intelligence systems, describing the main characteristics of systems, algorithms and approaches, as well as examples of specialized applications in the field of AI. The development of this draft document will be carried out by the working group 5 "Computational approaches and computational characteristics of AI systems" (SC 42 Working Group 5 "Computational approaches and computational characteristics of AI systems"), specially created within the framework of the subcommittee.
| | As part of the work at the international level, delegations from Russia managed to achieve a number of landmark decisions that will have a long-term effect on the development of artificial intelligence technologies in the country. The development of a Russian-language version of the standard, also from such an early phase, is a guarantee of synchronization with the international field, and the development of the ISO/IEC subcommittee and the initiation of international documents with the Russian co-editor is the foundation for further promoting the interests of Russian developers abroad, "commented. | |
Artificial intelligence technologies are widely in demand in a wide variety of sectors of the digital economy. Among the main factors restraining their full-scale practical use is the underdevelopment of the regulatory framework. At the same time, it is the developed regulatory and technical framework that ensures the specified quality of technology use and the corresponding economic effect.
In the direction of artificial intelligence, the Cyber Physical Systems shopping center based on RVC is developing a number of national standards, the approval of which is scheduled for late 2019 - early 2020. In addition, together with market players, work is underway to form a National Standardization Plan (NPC) for 2020 and beyond. TK "Cyber-Physical Systems" is open to proposals for the development of documents by interested organizations.
2018: Developing standards in quantum communications, AI and smart city
On December 6, 2018, the Cyber Physical Systems Technical Committee based on RVC, together with the SeifNet Regional Engineering Center, began developing a set of standards for the markets of the National Technology Initiative (NTI) and the digital economy. By March 2019, it is planned to develop documents of technical standardization in the field of quantum communications, artificial intelligence and the "smart city," the RVC said. Read more here.
Notes
- ↑ published the Final Editions
- ↑ GOST R 71657-2024
- ↑ On approval of the national standard of the Russian Federation
- ↑ Development of relations between Russia and India in the IT industry
- ↑ Ministry of Digital Development will determine the standard of personal data for artificial intelligence
- ↑ AI Act: a step closer to the first rules on Artificial Intelligence
- ↑ State standards for artificial intelligence are being prepared in Russia
- ↑ Metropolitan doctors have developed the first GOST in Russia for testing artificial intelligence
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