Standardization perspectives applicable in the field of artificial intelligence
This paper presents a study of the current state of standardisation opportunities in the field of Artificial Intelligence looking forward to 2030. As an example of the artificial intelligence technologies use for development purposes, the team of authors considered general education activities. The...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_03046.pdf |
| _version_ | 1797775855376662528 |
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| author | Kuprikov N. M. Kuprikov M. Yu. Kozhukhova E. A. |
| author_facet | Kuprikov N. M. Kuprikov M. Yu. Kozhukhova E. A. |
| author_sort | Kuprikov N. M. |
| collection | DOAJ |
| description | This paper presents a study of the current state of standardisation opportunities in the field of Artificial Intelligence looking forward to 2030. As an example of the artificial intelligence technologies use for development purposes, the team of authors considered general education activities. The study analysed and established the potential risks of using AI technologies in educational activities and cited factors which, according to the authors, could constrain the development of the AI field. The characteristics of GOST 59895-2021, GOST 59900-2021 and GOST R 59899-2021, which came into force in 20022, are given. As a conclusion to the paper, practical recommendations on the application of new GOSTs in the field are given. The mentioned GOSTs in perspective should allow removing restrictions on the use of AI technologies in education, overcoming the difficulties of assessing the applied effect of the use of artificial intelligence systems. |
| first_indexed | 2024-03-12T22:41:43Z |
| format | Article |
| id | doaj.art-d54bc0ed00ac436f9a55836dccf52b1b |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T22:41:43Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-d54bc0ed00ac436f9a55836dccf52b1b2023-07-21T09:40:48ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014020304610.1051/e3sconf/202340203046e3sconf_transsiberia2023_03046Standardization perspectives applicable in the field of artificial intelligenceKuprikov N. M.0Kuprikov M. Yu.1Kozhukhova E. A.2Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)This paper presents a study of the current state of standardisation opportunities in the field of Artificial Intelligence looking forward to 2030. As an example of the artificial intelligence technologies use for development purposes, the team of authors considered general education activities. The study analysed and established the potential risks of using AI technologies in educational activities and cited factors which, according to the authors, could constrain the development of the AI field. The characteristics of GOST 59895-2021, GOST 59900-2021 and GOST R 59899-2021, which came into force in 20022, are given. As a conclusion to the paper, practical recommendations on the application of new GOSTs in the field are given. The mentioned GOSTs in perspective should allow removing restrictions on the use of AI technologies in education, overcoming the difficulties of assessing the applied effect of the use of artificial intelligence systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_03046.pdf |
| spellingShingle | Kuprikov N. M. Kuprikov M. Yu. Kozhukhova E. A. Standardization perspectives applicable in the field of artificial intelligence E3S Web of Conferences |
| title | Standardization perspectives applicable in the field of artificial intelligence |
| title_full | Standardization perspectives applicable in the field of artificial intelligence |
| title_fullStr | Standardization perspectives applicable in the field of artificial intelligence |
| title_full_unstemmed | Standardization perspectives applicable in the field of artificial intelligence |
| title_short | Standardization perspectives applicable in the field of artificial intelligence |
| title_sort | standardization perspectives applicable in the field of artificial intelligence |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_03046.pdf |
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