Abstract
Purpose: The purpose of the work is to develop the principles of machine learning and the logic of their application in the practice of modern companies depending on the specifics of using AI.
Design/methodology/approach: The authors analyze the directions of the usage of Internet by companies in Russia in 2019. This allows proving that Internet (as a technology that precedes AI) is used with different activity in the social (envisaging communications with people) and anthropogenic (envisaging machine communications under manager’s control) directions.
Findings: It is determined that AI could be used for two opposite types of activities – machine communications with humans (mass usage) and for independent activities under manager’s control (professional usage). AI cannot perform these two types of activities at the same high level, so specialization of AI – depending on the specifics of its usage at the company – is expedient.
Originality/value: The authors develop a mixed approach to machine learning, which allows determining the company’s needs for machine learning (with the help of the proprietary algorithm) and satisfying them based on the offered anthropogenic or social signs. This approach formed the scientific and methodological provision of machine learning and allowed for standardization of this process – ensuring its high flexibility and adaptability to each company’s needs.
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Ilyina, N.A., Serebryakova, A.A., Lifanov, P.A., Kulueva, C.R. (2020). Machine Learning: Anthropogenic Principles Vs. Social Principles. In: Popkova, E., Sergi, B. (eds) Artificial Intelligence: Anthropogenic Nature vs. Social Origin. ISC Conference - Volgograd 2020. Advances in Intelligent Systems and Computing, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-030-39319-9_38
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