Human–AI Collaboration Development: Interim Communication Rivalry of Generation

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Abstract

The technical revolution has been opening unprecedented opportunities, but at the same time it has force people to face unheard of ethical problems. The author believes that the totality of problems will include, on the one hand, ethical aspects of people’s attitudes to AI, and on the other, problems associated with AI itself, which can lead to systemic risks that exceed the danger of using nuclear technologies that humanity was unable to keep under control. In this regard, it is obvious that the potential risks and possible losses and damages predicted by scientific analysis, which are fraught with the reckless use of AI, are to be taken with great attention, although the probability of their occurrence may seem quite low today. Basing on systemic approach, Strauss–Howe generational theory and survey methodology, the author has conducted a pilot research engaging two sample populations – one of Russian university academics belonging to Generation X and the other of Russian university students belonging to Generation Y. The overall number of the pilot survey participants exceeded 100 respondents. The interim research results have revealed a kind of current communication rivalry between AI apps users belonging to Generation Y and AI apps ‘virtual hostesses’ and collaboration trends in the attitudes of the AI apps users belonging to Generation X, which are attributed to the profound differences in the two generations’ value systems and mentalities and might highlight a deeper problem of a possible partial loss of the national value system as the core of the national mentality, as well as a possible mainstream of Human–AI collaboration development based on a kind of communication rivalry and potential intellectual slavery.

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APA

Burukina, O. (2020). Human–AI Collaboration Development: Interim Communication Rivalry of Generation. In Advances in Intelligent Systems and Computing (Vol. 965, pp. 70–82). Springer Verlag. https://doi.org/10.1007/978-3-030-20454-9_7

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