• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • News
  • White Papers of AI Conformity Assessment Published on HSE University Website

White Papers of AI Conformity Assessment Published on HSE University Website

White Papers of AI Conformity Assessment Published on HSE University Website

© iStock

The Russian Technical Committee for the Standardization of ‘Artificial intelligence’ (TC164), together with the Chamber for Indo Russo Technology Collaboration and the RUSSOFT Non-profit Partnership of Software Developers, has published new White Papers related to Artificial Intelligence Conformity Assessment. It reflects the approaches to the standardization and ethical regulation of AI technologies in two pilot industries — healthcare and agriculture.

The Russian Technical Committee on Standardization ‘Artificial intelligence’ (TC 164) was established by order of Rosstandart in 2019. It regulates cooperation between interested organisations and the government in carrying out work on national, interstate and international standardization. Sergey Garbuk, Director for Research Projects at HSE University, chairs the committee.

Work on the White Papers project started in 2023 after the signing of a Memorandum of Understanding between CIRTC, TC164 and RUSSOFT.

The published analytical report consists of five sections. The first one is dedicated to the goals agreed upon by two states, Russia and India, in the field of conformity assessment of AI technologies, and more specifically, the conformity assessment of AI in healthcare and agriculture. The second section contains a list of AI tasks in both industries. The third section lists the existing AI solutions in the Russian and Indian markets in pilot industries. The fourth section highlights relevant national and international standards. The last section is devoted to  approaches to the ethical regulation of artificial intelligence agreed upon by the two countries, as well as international approaches in this area.

The authors of the White Paper are Indian and Russian experts, including scientists from HSE University.

As part of the pilot project, the parties plan to develop quality assessment metrics for AI technologies participating in the pilot experiment and the quality requirements for applied AI technologies, including comparison with a human operator. The results presume unified standardization documents for Russia and India, which establish requirements for testing particular applied AI technologies in the field of healthcare and agriculture.

The first results of Russian-Indian cooperation in the field of standardization and conformity assessment of AI technologies will be presented at the summit of the heads of national standardization bodies of the BRICS member states, which Russia will be chairing in summer 2024.

After completing the pilot experiment, the researchers plan to create a joint laboratory for AI testing, as well as work on promoting testing methods to the level of international organisations for standardization (ISO/IEC, ITU).

Sergey Garbuk

Director for Research Projects at HSE University, Chairman of TC 164

We can overcome barriers associated with the use of artificial intelligence in areas where an incorrect decision can lead to threats to human health and life, and significant environmental and economic damage, through the standardization of requirements for testing methods of responsible intelligent systems, as well as through the objective confirmation of compliance of systems with established requirements in the field of functionality and safety.

Read the White Papers

See also:

HSE University and Sber Conduct Foresight in Artificial Intelligence

HSE University, in collaboration with Sber, have conducted a foresight study on artificial intelligence (AI). Its early results were discussed by the participants of a strategic foresight session on exploratory research in AI, held at the Coordination Centre of the Russian Government, headed by Deputy Prime Minister Dmitry Chernyshenko. The results from the foresight study will inform the Unified Research and Development Programme in the Field of AI.

Space for Collaboration in Artificial Intelligence

The HSE Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) has launched regular seminars, offering students and scientists from various universities and research centres the opportunity to share their latest research and discuss the most recent developments in artificial intelligence in a friendly and constructive atmosphere. The first seminar was held on May 15.

Scientists Propose Star-Shaped Diffusion Model

Scientists at the AI Research Centre and the Faculty of Computer Science at HSE University, the Artificial Intelligence Research Institute (AIRI), and Sber AI have come up with novel architecture for diffusion neural networks, making it possible to configure eight distinct types of noise distribution. Instead of the classical Markov chain model with Gaussian distribution, the scientists propose a star-shaped model where the distribution type can be selected and preset. This can aid in solving problems across various geometric modalities. The results were presented at the NeurIPS 2023 conference.

HSE Scientists Leverage AI to Accelerate Advancement of 5G and 6G Wireless Communication Systems

The HSE Artificial Intelligence Centre has developed software for modelling radio channels in 5G and 6G wireless networks, based on ray tracing and machine learning techniques. Their software solutions enable modelling radio wave propagation between transmitters and receivers and can convert ray tracing data into a frame sequence format, configure and train neural networks based on this data, and subsequently save the trained models. 

‘Like Electricity, AI Can Bring Incredible Benefits’

Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.

‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’

A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.

‘We Need to Learn to Communicate with Artificial Intelligence Services’

An online course 'What is Generative AI?’ has been launched on the Open Education platform, which will help students learn more about how to properly communicate with neural networks so that they can perform tasks better. Daria Kasyanenko, an expert at the Continuing Education Centre and senior lecturer at the Big Data and Information Retrieval School at the Faculty of Computer Science, spoke about how generative AI works and how to create content with its help.

Artificial Intelligence Tested by Kant Philosophy

The Baltic Federal University (Kaliningrad) recently hosted an International Congress entitled ‘The World Concept of Philosophy’ in honour of the 300th anniversary of the birth of the philosopher and thinker Immanuel Kant. The event brought together about 500 scientists and experts from 23 countries. HSE Rector Nikita Anisimov took part in the opening plenary session of the congress titled ‘Critique of Artificial Intelligence: Being and Cognition in the Context of Artificial Intelligence Development.’

HSE University to Reward Students Who Write Their Thesis Using AI

HSE University has launched a competition for solutions using artificial intelligence technology in theses work. The goal of the competition is to evaluate how students use tools based on generative models in their 2024 graduation theses (GT).

Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Researchers from the HSE AI Research Centre have built a system for the automated control of manual operations, which finds application in industrial production. The system facilitates the process of monitoring objects and actions, as well as controlling the quality of their execution.