THE MODEL OF THREATS TO THE PERSONALITY OF STUDENTS IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS

The article shows the relevance of identifying security threats arising from the spread and active use (including in the field of education) of artificial intelligence systems. A diagram is presented reflecting the threats to the security of the user of such systems identified in the process of analysis. For each of the described threats, the following are presented: scientific and regulatory sources indicating the relevance of the threat, a description of the negative consequences of the threat, realized for users of the system, possible ways to prevent the consequences. At the same time, the process of identifying and protecting against threats requires an integrated approach, including technical, legal, organizational, and moral and ethical measures. In particular, the use of the following solutions remains relevant: DLP systems to block the transfer of protected data to third-party artificial intelligence systems, tools for analyzing the presence of illegal content in the generated text (using the GenSim library) and in images (using the YOLOv3 model), tools for identifying unreliable and generated content (determining the author’s invariant for text, model GLTR and others). In conclusion, a general list of negative consequences from threats to the security of the system user is presented (including degradation of information retrieval and processing skills, communication and cooperation in the process of joint activities, obtaining a distorted view of history, geography and other fields of knowledge) that distinguish the use of artificial intelligence from the introduction of other innovative technologies

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Publication Details

Journal
RSUH/RGGU Bulletin Series Information Science Information Security Mathematics
Published
2025-01-01
DOI
https://doi.org/10.28995/2686-679x-2025-1-70-94
Primary Topic
Educational Innovations and Challenges
Type
article
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article

THE MODEL OF THREATS TO THE PERSONALITY OF STUDENTS IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS

Yuliya I. Bogatyreva, Aleksandr Privalov, Vadim A. Smirnov
RSUH/RGGU Bulletin Series Information Science Information Security Mathematics
Educational Innovations and Challenges
article

THE MODEL OF THREATS TO THE PERSONALITY OF STUDENTS IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS

Yuliya I. Bogatyreva, Aleksandr Privalov, Vadim A. Smirnov
article en

Abstract

The article shows the relevance of identifying security threats arising from the spread and active use (including in the field of education) of artificial intelligence systems. A diagram is presented reflecting the threats to the security of the user of such systems identified in the process of analysis. For each of the described threats, the following are presented: scientific and regulatory sources indicating the relevance of the threat, a description of the negative consequences of the threat, realized for users of the system, possible ways to prevent the consequences. At the same time, the process of identifying and protecting against threats requires an integrated approach, including technical, legal, organizational, and moral and ethical measures. In particular, the use of the following solutions remains relevant: DLP systems to block the transfer of protected data to third-party artificial intelligence systems, tools for analyzing the presence of illegal content in the generated text (using the GenSim library) and in images (using the YOLOv3 model), tools for identifying unreliable and generated content (determining the author’s invariant for text, model GLTR and others). In conclusion, a general list of negative consequences from threats to the security of the system user is presented (including degradation of information retrieval and processing skills, communication and cooperation in the process of joint activities, obtaining a distorted view of history, geography and other fields of knowledge) that distinguish the use of artificial intelligence from the introduction of other innovative technologies

RSUH/RGGU Bulletin Series Information Science Information Security Mathematics(1)
Openalex Percentile: Top 85%
Educational Innovations and Challenges
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