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Artificial intelligence and neural networks: a dual risk factor and a resource in ensuring psychological security.

Proceeding
International Research-to-practice conference «Psychologically Safe Educational Environment: Design Problems and Development Prospects»
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Published in:
International Research-to-practice conference «Psychologically Safe Educational Environment: Design Problems and Development Prospects»
Authors:
Inna G. Iglinskaia 1 , Anastasiia V. Petrakova 1
Work direction:
Psychological Support of Students with Special Educational Needs
Pages:
176-178
Received: 25 October 2024

Rating:
Article accesses:
622
Published in:
РИНЦ
1 Starooskol'skii filial FGAOU VO "Belgorodskii gosudarstvennyi natsional'nyi issledovatel'skii universitet"
For citation:
Iglinskaia I. G., & Petrakova A. V. (2024). Artificial intelligence and neural networks: a dual risk factor and a resource in ensuring psychological security. Psychologically Safe Educational Environment: Design Problems and Development Prospects, 176-178. Чебоксары: PH "Sreda".

Abstract

The article examines the dual aspects of the influence of artificial intelligence (AI) and neural networks on human psychological security. On the one hand, AI technologies can serve as a powerful tool for improving mental health by offering personalized solutions and support in crisis situations. On the other hand, their use is also associated with risks such as loss of privacy, manipulation of consciousness and dependence on technology. The influence of algorithms on the formation of public opinion and the emotional state of users is analyzed, as well as the ethical and legal aspects of the introduction of AI in areas related to mental health are considered. In conclusion, the need to develop comprehensive strategies aimed at minimizing risks and maximizing the resources provided by new technologies to ensure psychological security in modern society is emphasized.

References

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  2. 2. Кузнецов А.В. Искусственный интеллект и информационная безопасность общества: монография / А.В. Кузнецов, С.И. Самыгин, М.В. Радионов. – М.: РУСАЙНС, 2024. – 118 с.
  3. 3. Сысоев П.В. Искусственный интеллект в образовании: осведомлённость, готовность и практика применения преподавателями высшей школы технологий искусственного интеллекта в профессиональной деятельности / П.В. Сысоев // Высшее образование в России. – 2023. – №10. – С. 9–33. DOI 10.31992/0869-3617-2023-32-10-9-33. EDN TZYTKM
  4. 4. Эртель В. Введение в искусственный интеллект / В. Эртель; пер. с англ. А. Горман. – М.: Эксмо, 2019. – 448 с.

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