Stages of artificial intelligence technologies development and clarification of terminology

After the approval of the National Strategy for the Development of Artificial Intelligence (AI) in the Russian Federation (Strategy), additional recommendations were developed for events and projects related the implementation of AI technologies in production processes and manufactured products to be included in the innovation development programs (IDP) of joint-stock companies with public ownership (JScPO). The article briefly presents and compares the main principles and goals in the development of AI technologies proposed by the American initiative and the Strategy of Russia. The evolution of the AI technologies development and the background causes for national strategies on AI to appear have been examined. Particular attention in the Strategy is paid not to knowledge itself, but to data and data labelling. All data labelling technologies are united by the fact that they assist to turn data into information. However, the intellectual process is the interaction between mental and cognitive processes; this interaction is imitated and enhanced in the intelligent systems - partnering human-machine systems. These systems do not replace humans, but are powerful tools in life and social behavior studies (including management and medicine), where knowledge is poorly formalized and data can be structured. The development of a new generation of decision support systems to be ahead of the world level requires the mobilization of all the forces and capabilities of all Russian intellectual elite working in this sphere

Keywords: intellect, intellectualization, informatics, artificial intelligence, machine learning, science, neural networks, decision making, innovative development program, strategy, technology, management, evolution, expert systems

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