Artificial Intelligence Technologies in Psychology

 
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Abstract

The article examines the rapidly growing artificial intelligence technologies aimed at understanding and supporting humans. It outlines the main achievements, emerging problems, and promising development paths. It is argued that while these emerging human-oriented artificial intelligence technologies promise a significant increase in psychological comfort, they also pose serious risks. The concept of "digital angels" is proposed—artificial intelligence technologies created to protect the interests of their owner. Digital angels should combine three roles: digital assistants that help individuals organize their lives; digital communicators that ensure connection with other people and the environment; and digital confidants that a person can unconditionally trust.

General Information

Keywords: artificial intelligence, large language models, automatic recognition of human properties and states, digital twins, digital angels

Journal rubric: Methodology of Psychological Research

OpenAlex citations: 6

OpenAlex trends: Technology and Human Factors in Education and Health, Cognitive Science and Mapping

Information about the work in OpenAlex

Number of citations: 6

Topics

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27270  |  Total number of citations: 81913

Topic detailsв OpenAlex

Cognitive Science and Mapping

This cluster of papers focuses on the application of Fuzzy Cognitive Maps (FCMs) in modeling complex systems, decision support, and knowledge representation. It explores various learning algorithms for FCMs, their use in scenario development for social-ecological systems, prediction in healthcare decision making, and their role in multi-criteria analysis.

Number of works: 39197  |  Total number of citations: 744496

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2024170412

Funding. The article was prepared with the support of the Russian Science Foundation, project number № 22-18-00704.

Received 28.10.2024

Accepted

Published

For citation: Ushakov, D.V. (2024). Artificial Intelligence Technologies in Psychology. Experimental Psychology (Russia), 17(4), 182–189. (In Russ.). https://doi.org/10.17759/exppsy.2024170412

© Ushakov D.V., 2024

License: CC BY-NC 4.0

References

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  2. Rafikova A.S., Valueva E.A., Panfilova A.S. Golos i psihologicheskie svojstva cheloveka: obzor sovremennyh issledovanij. Psihologiya. ZHurnal Vysshej shkoly ekonomiki, 2022. Vol. 19, no. 1, pp. 195—215. DOI:10.17323/1813-8918-2022-1-195-215
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  7. Panfilova A.S., Turdakov D.Y. Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data. Sci. Rep., 2024. Vol. 14, Article 5369. DOI:10.1038/s41598-024-56080-8
  8. Panfilova A.S., Valueva E.A., Ilyin I.Y. The application of explainable artificial intelligence methods to models for automatic creativity assessment. Front. Artif. Intell., 2024. Vol. 7, Article 1310518. DOI:10.3389/frai.2024.1310518
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Information About the Authors

Dmitry V. Ushakov, Doctor of Psychology, Director, Institute of Psychology RAS (FGBI IP RAS), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9716-1545, e-mail: dv.ushakov@gmail.com

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