• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Advanced search
HSE University
Advanced search
Higher School of Economics
National Research University
Priority areas
by year
Subject
News
25 January 2021
OECD Outlook Examines the Effects of the Pandemic on Science, Technology, and Innovation
Times of Crisis and Opportunity is the title of the OECD Science, Technology and Innovation (STI) Outlook published in January. The document focuses on STI responses to the pandemic while assessing the impact of the COVID-19 crisis on science and technology. Mikhail Gershman, Deputy Director of the Centre of Science, Technology, Innovation and Information Policy, discusses the contribution of the Institute of Statistical Studies and Economics of Knowledge (ISSEK) to the Outlook and discusses some aspects of ISSEK’s long-standing partnership with OECD.
22 January 2021
Global Restructuring: The World Community Prepares to Fight Climate Change
More than a hundred countries have already declared that they see achieving ‘zero emissions with the exception of absorption’ as their main goal in fighting climate change. For Russia, a country that receives significant income from the export of fossil energy resources, the global rejection of hydrocarbons poses great risks. Experts discussed the issue at the research seminar ‘Decarbonization as a Global Trend: Changing the Economic Landscape and Its Importance for Companies’, which was jointly organized by HSE University and the Association of European Businesses.
20 January 2021
Taming the ‘Black Swan’: Who Will Win the Fight Against the CoronaCrisis
Countries with reserve currencies, sufficient fiscal capacity to implement soft fiscal policies, and access to global capital markets have the best chance of recovering from the coronavirus crisis. The rest may need external assistance. These are the conclusions drawn by Alexei Kireyev, leading IMF economist and visiting professor at HSE University’s School of World Economy.

Book chapter

Актуальные тенденции и проблемы развития и применения робототехники

С. 362-367.
Макаров С. Л., Макарова Т. Л.
Language: Russian
Full text (PDF, 175 Kb)
Keywords: мобильный роботроботробототехникаискусственный интеллектсферы применения робототехники

In book

Управление информационными ресурсами: Материалы XIV Международной научно-практической конференции (Минск, 20 декабря 2017 г.)
Edited by: М. В. Чайковский, Б. В. Новыш Мн.: Академия управления при Президенте Республики Беларусь, 2017.
Similar publications
Artificial Intelligence: Methodology, Systems, and Applications. 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012. Proceedings
Edited by: A. Ramsay, G. Agre. Iss. 7557. Heidelberg; Dordrecht; L.; NY: Springer, 2012.

Proceeding of the 15th International Conference on Artificial Intelligence: Methodology, Systems, Applications , AIMSA 2012, Varna, Bulgaria, September 12-15, 2012.

Added: Nov 23, 2012
Proceedings of the 2016 Future Technologies Conference
IEEE, 2017.
Added: Nov 20, 2017
Dynamic Planning of Robot Behavior Based on an “Intellectual” Neuron Network
Karpov V. E., Val'tsev V. B. Scientific and Technical Information Processing. 2011. Vol. 38. No. 5. P. 344-354.

We examine the questions of applying large pyramidal neural (intellectual neuron) networks to solve equipment object control problems. We consider the description of a system for dynamic planning of mobile robot behavior, constructed based on a network of similar elements.

Added: Apr 12, 2012
Естественный и искусственный интеллект: методологические и социальные проблемы
М.: Канон+, 2011.
Added: Apr 29, 2013
Прогнозирование состояний корпоративной сети центра управления полетами в нейросетевом логическом базисе
Леохин Ю. Л. Качество. Инновации. Образование. 2011. № 12. С. 75-82.
Added: Apr 25, 2012
Система навигации мобильного робота
Карпов В. Э., Платонова М. В. В кн.: Информационные средства и технологии. Труды XVIII Международной научно-технической конференции. Т. 2. М.: Издательский дом МЭИ, 2010. С. 56-63.
Added: Apr 12, 2012
Коллективное поведение роботов. Желаемое и действительное
Карпов В. Э. В кн.: Современная мехатроника. Сборник научных трудов Всероссийской научной школы (г. Орехово-Зуево, 22-23 сентября 2011).. М.: РосНОУ, 2011. С. 35-51.
Added: Apr 12, 2012
Права на результаты искусственного интеллекта
Синельникова В. Н., Ревинский О. Копирайт. Вестник Российской академии интеллектуальной собственности. 2017. № 4. С. 17-27.
Added: Jan 31, 2018
Fairness Meets Machine Learning: Searching For A Better Balance
Semenova E., Перевощикова Е. Ю., Ivanov A. et al. Law. LAW. Высшая школа экономики, 2019
Machine learning (ML) affects nearly every aspect of our lives, including the weightiest ones such as criminal justice. As it becomes more widespread, however, it raises the question of how we can integrate fairness into ML algorithms to ensure that all citizens receive equal treatment and to avoid imperiling society’s democratic values.  In this paper we study various formal definitions of fairness that can be embedded into ML algorithms and show that the root cause of most debates about AI fairness is society’s lack of a consistent understanding of fairness generally. We conclude that AI regulations stipulating an abstract fairness principle are ineffective societally. Capitalizing on extensive related work in computer science and the humanities, we present an approach that can help ML developers choose a formal definition of fairness suitable for a particular country and application domain.  Abstract rules from the human world fail in the ML world and ML developers will never be free from criticism if the status quo remains. We argue that the law should shift from an abstract definition of fairness to a formal legal definition. Legislators and society as a whole should tackle the challenge of defining fairness, but since no definition perfectly matches the human sense of fairness, legislators must publicly acknowledge the drawbacks of the chosen definition and assert that the benefits outweigh them. Doing so creates transparent standards of fairness to ensure that technology serves the values and best interests of society.   
Added: Dec 12, 2019
Эмоции роботов
Карпов В. Э. В кн.: Двенадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2010 (20-24 сентября 2010 г., г. Тверь, Россия). Труды конференции. Том 3. Т. 3. М.: Физматлит, 2010. С. 354-368.
Added: Apr 12, 2012