PhD Thesis on AI: a New Challenge of the Digital Era

An analytical review of the models and risks in the researcher’s reproduction system in the scientific specialty “1.2.1. Artificial Intelligence and Machine Learning” is presented. The issues of graduate school management and regulatory barriers in the training of young scientists are considered. Su...

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Main Authors: A. N. Alfimtsev, N. G. Bagdasaryan, S. A. Sakulin
Format: Article
Language:English
Published: Moscow Polytechnic University 2024-05-01
Series:Высшее образование в России
Subjects:
Online Access:https://vovr.elpub.ru/jour/article/view/4927
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author A. N. Alfimtsev
N. G. Bagdasaryan
S. A. Sakulin
author_facet A. N. Alfimtsev
N. G. Bagdasaryan
S. A. Sakulin
author_sort A. N. Alfimtsev
collection DOAJ
description An analytical review of the models and risks in the researcher’s reproduction system in the scientific specialty “1.2.1. Artificial Intelligence and Machine Learning” is presented. The issues of graduate school management and regulatory barriers in the training of young scientists are considered. Successful practices for defending a PhD thesis at leading national research universities have been identified and categorized. The justifications for the need to protect a PhD thesis by machine learning engineers are given. Proposals for changes to the scientific model of postgraduate studies and for AI augmentation of scientific research have been summarized, which help overcome risks in assigning qualification based on the textual results of scientific work.
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2072-0459
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publisher Moscow Polytechnic University
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series Высшее образование в России
spelling doaj-art-8e23abe9fbed4e578e05e2ae104d0ad92025-02-01T13:14:32ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592024-05-01334334810.31992/0869-3617-2024-33-4-33-482463PhD Thesis on AI: a New Challenge of the Digital EraA. N. Alfimtsev0N. G. Bagdasaryan1S. A. Sakulin2Bauman Moscow State Technical UniversityBauman Moscow State Technical UniversityBauman Moscow State Technical UniversityAn analytical review of the models and risks in the researcher’s reproduction system in the scientific specialty “1.2.1. Artificial Intelligence and Machine Learning” is presented. The issues of graduate school management and regulatory barriers in the training of young scientists are considered. Successful practices for defending a PhD thesis at leading national research universities have been identified and categorized. The justifications for the need to protect a PhD thesis by machine learning engineers are given. Proposals for changes to the scientific model of postgraduate studies and for AI augmentation of scientific research have been summarized, which help overcome risks in assigning qualification based on the textual results of scientific work.https://vovr.elpub.ru/jour/article/view/4927artificial intelligencenational ai strategyai augmentationgraduate school managementpersonnel reproduction system
spellingShingle A. N. Alfimtsev
N. G. Bagdasaryan
S. A. Sakulin
PhD Thesis on AI: a New Challenge of the Digital Era
Высшее образование в России
artificial intelligence
national ai strategy
ai augmentation
graduate school management
personnel reproduction system
title PhD Thesis on AI: a New Challenge of the Digital Era
title_full PhD Thesis on AI: a New Challenge of the Digital Era
title_fullStr PhD Thesis on AI: a New Challenge of the Digital Era
title_full_unstemmed PhD Thesis on AI: a New Challenge of the Digital Era
title_short PhD Thesis on AI: a New Challenge of the Digital Era
title_sort phd thesis on ai a new challenge of the digital era
topic artificial intelligence
national ai strategy
ai augmentation
graduate school management
personnel reproduction system
url https://vovr.elpub.ru/jour/article/view/4927
work_keys_str_mv AT analfimtsev phdthesisonaianewchallengeofthedigitalera
AT ngbagdasaryan phdthesisonaianewchallengeofthedigitalera
AT sasakulin phdthesisonaianewchallengeofthedigitalera