ABSTRACT

Artificial intelligence is increasingly penetrating into the all spheres of our life, and in the nearest future most of the technologies used will have signs of artificial intelligence. It has already been widely used in the formation of social and economic forecasts, as well as in forecasting various natural phenomena and the impact of human and industrial processes on the environmental situation. However, the issue of using artificial intelligence in scientific and intellectual forecasting has been poorly studied and it requires deeper theoretical and methodological substantiation. The purpose of the study was to find effective approaches to the use of artificial intelligence technologies in the formation of long-term forecasting of the development of science, techniques and technologies. The main method of research was to use an integrated and systematic approach to the analysis of domestic and foreign publications on the use of artificial intelligence technologies in the formation of scientific and technological forecasts and the adaptation of the most effective of them to the peculiarities of the formation of technological forecast in Russia. The structure proposed by the authors is the use of artificial intelligence technologies at the stages of scientific and technological forecasting. Description of the possibilities of using individual artificial intelligence technologies in scientific and technological forecasting are presented. The prospect of using artificial intelligence technologies in the formation of scientific and technological forecasts are shown. The novelty of the presented results is that for the first time the authors describe the possibilities of using the most appropriate and effective artificial intelligence in the formation of long-term forecasts of the development of science, techniques and technologies in Russia from the standpoint of systematic and integrated approaches. Keywords: artificial intelligence, innovative and technological forecasting, technologies of artificial intelligence, stages of forecasting, effectiveness
Publication date: 01/12/2021

https://ijbpas.com/pdf/2021/December/MS_IJBPAS_2021_DEC_SPCL_2045.pdf

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https://doi.org/10.31032/IJBPAS/2021/10.12.2045