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THE MAIN PROBLEMS OF ARTIFICIAL INTELLIGENCE IN SCIENCE

https://doi.org/10.48137/23116412_2022_4_59

Abstract

The relevance of the article is related to the need to address issues that arise in the development of artificial intelligence (AI). The purpose of this study is to identify the main problems of AI in science and offer possible practical solutions.

About the Author

K. S. Karimov
Moscow State University
Russian Federation

KARIMOV Konstantin S. – postgraduate student at the Political Science and Law Department

105005, Moscow, 21 Friedrich Engels St. 3



References

1. Total economic impact of AI in the period to 2030 // URL: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificialintelligence-study.html (accessed: 20.08.2022)

2. The 2017 Deloitte State of Cognitive Survey // URL: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-da-2017-deloitte-state-of-cognitive-survey.pdf (accessed: 20.08.2022)

3. Kalyaev I. A. To catch up and overtake. About the supercomputer race in the world // URL: https://scientificrussia.ru/ (accessed: 08/20/2022)

4. Artificial intelligence. Part Two: Extinction or Immortality? // URL: https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html (accessed: 20.08.2022)


Review

For citations:


Karimov K.S. THE MAIN PROBLEMS OF ARTIFICIAL INTELLIGENCE IN SCIENCE. Post–Soviet Continent. 2022;(4):59-66. (In Russ.) https://doi.org/10.48137/23116412_2022_4_59

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ISSN 2311-6412 (Print)