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12. Yee N. The Proteus Paradox: How Online Games and Virtual Worlds Change UsAnd How They Don't. Yale University Press, 2014.


Directions of studies in cyberpsychology



Voiskounsky A.E.,
Lomonosov Moscow State University, Moscow



Abstract. The leading directions of cyberpsychological studies describing human behavior (interactive, cognitive, gameplaying, consumer, etc.) on the Internet are introduced and discussed. These directions include: anonymity, hybrid behavior (transfer from virtual to real life and vice versa), leveling up reputation, mobility, immersion, distribution.

Keywords: cyberpsychology, virtuality, anonymity, hybrid behavior, leveling up reputation, mobility, immersion, distributed behavior.





      [2 -      18-18-00439      .]




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4.  :   ? // . 3538. 4 2017. URL: https://wciom.ru/index.php?id=236&uid=116605 ( : 05.01.2018).

5.  .,  . Nudge.  .      ,   . .: ,   , 2017.

6. Knight W. The Dark Secret at the Heart of AI // MIT Technology Review. 11 April 2017. URL: https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart -of-ai/ ( : 07.01.2018).

7. Kotov A. A computational model of consciousness for artificial emotional agents // Psychology in Russia: State of the Art. 2017. V. 10. N. 3. P. 5773.

8. Memes That Kill: The Future of Information Warfare // CBInsights Re-search Briefs. 3May 2018. URL: https://www.cbinsights.com/research/future-of-information-warfare ( : 07.01.2018).

9. Parlett N., Foyster R., Ho P. Will robots really steal our jobs? An international analysis of the potential long term impact of automation. PwC, 2018. URL: https://www.pwc.com/hu/hu/kiadvanyok/assets/pdf/impact_of_automatio n_on_jobs.pdf ( : 05.05.2018).

10. Turchin A., Denkenberger D. Classification of global catastrophic risks connected with artificial intelligence //  & Society. 2018. P. 117. URL: https://doi.org/10.1007/s00146-018-0845-5 ( : 05.01.2018).


Introduction of artificial intelligence technologies into everyday life: perspectives of psychological research



Nestik T.A.,
Institute of Psychology RAS, Moscow



Abstract. The article discusses the problems posed by the introduction of technologies of "weak" or specialized, artificial intelligence in everyday life for psychological science and practice. Attention is drawn to the study of the implications of using algorithms for cognitive and emotional development; the impact of cultural differences on the development and approaches to the use of AI; the possibilities opened by the AI for increasing awareness and mindfulness, for constructing identity, self-image and temporal perspective, for impression management; the influence of the world programmability on causal attribution processes and trust in social institutions; the implications of machine learning in group decision support systems; the impact of AI on the legal consciousness and legal mobilization. The psychological problems associated with the emergence of "redundant people" who have lost their jobs during the automation process are recognized as particularly acute. The author draws attention to the likelihood of reduced awareness and reflexivity of society under the influence of the digital choice architecture, as well as the widening of the cultural gap between those who are ready for uncertainty and choice, and those who are trying to avoid having to choose something, shifting the responsibility to algorithms.

Keywords: artificial intelligence, machine learning, awareness, group decision making, causal attribution, social trust, tolerance for uncertainty, choice architecture.





    :  [3 -   ,  18-29-03167.]




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5. Boyle M. The Computer as a Trojan horse // Journal of Computer Assisted Learning. 2001. Vol. 17. P. 251262.

6. Controlling the message: preschoolers use of information to teach and deceive others / Rhodes M., Bonawitz E., Shafto P. et al. // Frontiers in Psychology. 2015. 6. . 867.

7. Kline M. How to learn about teaching: an evolutionary framework for the study of teaching behavior in humans and other animals // Behavioral and Brain Sciences. 2015. Vol. 38. . 31.

8. Manipulating machine learning: poisoning attacks and countermeasures for regression learning / Jagielski M., Oprea A., Biggio B. et al. URL: https://arxiv.org/abs/1804.00308 ( : 06.02.2018).

9. White A.L. The pedagogical Trojan horse: handheld technologies in the secondary mathematics classroom // Proceedings of the 2nd National Conference on Graphing Calculators. October 46, 2004. P. 105112.


Poisoning attacks on machine learning and semantic networks: aversion of a threat narrative in digital society



Poddiakov A.,
National Research University Higher School of Economics, Institute of Psychology RAS, Moscow



Abstract. A brief review of studies of false tips and Trojan horse teaching is presented. A classification giving opportunity to distinguish between situations of false tips (Trojan horse teaching) differing in their relations to verbal activity is described. Based on an analogy with poisoning attacks on machine learning, one can interpret some verbal false tips and Trojan horse teaching as poisoning attacks on a semantic network. Various aspects of inhibition of verbal creativity and performance are considered. An issue of dynamics of narratives of false tips and teaching with evil intent in various periods and various societies including digital one is introduced.

Keywords: Trojan horse teaching, poisoning attack, verbal creativity, semantic network, threat narrative.





    




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notes



1


      17-06-00515.




2


     18-18-00439      .




3


  ,  18-29-03167.


