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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2023 Issue 3, Pages 109–122 (Mi iipr42)

Decision analysis

Artificial intelligence researchers: dissertation-based analysis

N. V. Melekh, A. O. Averyanov, V. A. Gurtov

Petrozavodsk State University, Petrozavodsk, Russia

Abstract: This article presents the results of compiling a list of dissertation studies defended for the degree of candidate of sciences for the period from 2016 to 2022, the topics of which relate to the artificial intelligence field (AI). A thematic analysis of these dissertations and characteristics of the community of candidates of science belonging to the category “Artificial Intelligence Researchers” are provided. The generated list of dissertations is structured by areas of artificial intelligence technologies and subtechnologies. It is shown that the training of highly qualified scientific personnel fully meets the needs of the artificial intelligence field in the category of “AI Researchers” on the short-term planning horizon. “AI Competence Centers” are identified according to the criterion of the number of dissertations completed in scientific and educational organizations on the AI subject.

Keywords: artificial intelligence, AI, dissertation research, candidates of sciences, AI Competence Centers.

DOI: 10.14357/20718594230311



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© Steklov Math. Inst. of RAS, 2024