This paper delves into the issue of accelerating human-supercomputer interaction in the context of the rapidly growing supercomputer power and artificial intelligence (AI) development. The main focus is improving information service quality while optimising computing power and preserving China’s centuries-old culture and ethical traditions. The growth of computing power necessitates the development of this interaction to immerse into a hybrid (human-machine) reality, characterised by the need to ensure the purposefulness of interaction processes using formalised and non-formalised, human-inspired data. The paper presents unique examples of problem-solving in hybrid reality: marketing of public needs can be estimated automatically, the viewpoint system from a complimentary perspective allows one to view the object from different angles, and transport passengers’ satisfaction can be assessed using emotion recognition with high accuracy. The paper also engages in a comprehensive discussion of the ethics of human-supercomputer interaction.

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Human-Supercomputer Interaction Using Artificial Intelligence in China

  • Aleksandr Raikov,
  • Meng Guo,
  • Weina Chen

摘要

This paper delves into the issue of accelerating human-supercomputer interaction in the context of the rapidly growing supercomputer power and artificial intelligence (AI) development. The main focus is improving information service quality while optimising computing power and preserving China’s centuries-old culture and ethical traditions. The growth of computing power necessitates the development of this interaction to immerse into a hybrid (human-machine) reality, characterised by the need to ensure the purposefulness of interaction processes using formalised and non-formalised, human-inspired data. The paper presents unique examples of problem-solving in hybrid reality: marketing of public needs can be estimated automatically, the viewpoint system from a complimentary perspective allows one to view the object from different angles, and transport passengers’ satisfaction can be assessed using emotion recognition with high accuracy. The paper also engages in a comprehensive discussion of the ethics of human-supercomputer interaction.