New approach to assessing the manipulative impact of artificial intelligence on public consciousness
Subject. The article addresses the impact of artificial intelligence on the consciousness of individual and society as a whole. Objectives. The focus is on minimizing the risks of negative impact of artificial intelligence algorithms on civilizational values of the Russian society in the light of the current geopolitical situation. Methods. The study employs system tools, that open up opportunities for making adequate situational management decisions. To summarize the findings, we used well-known tests and standard methods for evaluating their results. Results. The paper presents the results of our experimental study on the issue of bias in assessments influenced by the manipulativeness of artificial intelligence algorithms. The results demonstrate that for the "individualism-collectivism" factor, there is no bias in assessments influenced by the manipulativeness of artificial intelligence algorithms, with a compression of variability that is indisputable for any accepted levels of significance. As for the "machiavellianism" factor, which characterizes the degree of manipulativeness, the bias in assessments generated by artificial intelligence for groups of conditional "personalities" significantly differs from the corresponding indicators of control groups of individuals. Conclusions. Further research on the manipulative impact of artificial intelligence algorithms on public consciousness regarding the factor of "Machiavellianism" is advisable.
Authors
- С.Н. Ларин (ORCID: https://orcid.org/0000-0001-5296-5865)
- И.Д. Грачев (ORCID: https://orcid.org/0000-0003-1815-5898)
- Т.А. Костина
- Н.В. Ноакк (ORCID: https://orcid.org/0000-0001-8696-5767)
Institutions
- Central Economics and Mathematics Institute (RU)
Publication Details
- Journal
- National Interests Priorities and Security
- Published
- 2025-03-13
- DOI
- https://doi.org/10.24891/ni.21.3.4
- Primary Topic
- Cultural Differences and Values
- Type
- article
- Field-Weighted Citation Impact
- 0.00