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Conference material: "Proceedings of the 3rd International Conference Futurity designing. Digital reality problems (February 6-7, 2020, Moscow)"
Authors: Malinetskii G.G., Smolin V.S., Kolesnichenko O.Yu., Zhilina T.N.
The sociological trajectory in AI drafting: Challenges of uncertainty
Abstract:
AI revolution of 2010-12 allows not only solving ever wider task classes that were previously accessible only to humans but also more pragmatically assessing the possibilities and goals of human thinking. Developing a strong AI goes in different ways, from the brain work simulating, to creating a machine with its goals and desires. The uncertainty challenges include technological disaster threats, human life and freedom risks, and AI utilization in social transformation acceleration. The proposed analysis of sociological problems is useful for understanding both the prospects for AGI development and setting its deployment goals.
Keywords:
artificial intelligence, machine learning, artificial neural networks, society, management sociology, social structure
Publication language: russian,  pages: 11 (p. 241-251)
Russian source text:
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About authors:
  • Malinetskii Georgii Gennadyevich,  orcid.org/0000-0001-6041-1926KIAM RAS
  • Smolin Vladimir Sergeevich,  orcid.org/0000-0001-9030-6545KIAM RAS
  • Kolesnichenko Olga Yurievna,  orcid.org/0000-0002-4523-6485,  I.M. Sechenov First Moscow State Medical University
  • Zhilina Tatiana Nikolaevna,  orcid.org/0000-0002-2355-1775,  I.M. Sechenov First Moscow State Medical University