Co-evolutionary hybrid intelligence

• URL: http://arxiv.org/abs/2112.04751v1
• Date: Thu, 9 Dec 2021 08:14:56 GMT
• Title: Co-evolutionary hybrid intelligence
• Authors: Kirill Krinkin and Yulia Shichkina and Andrey Ignatyev
• Abstract summary: The current approach to the development of intelligent systems is data-centric. The article discusses an alternative approach to the development of artificial intelligence systems based on human-machine hybridization and their co-evolution.
• Score: 0.3007949058551534
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial intelligence is one of the drivers of modern technological development. The current approach to the development of intelligent systems is data-centric. It has several limitations: it is fundamentally impossible to collect data for modeling complex objects and processes; training neural networks requires huge computational and energy resources; solutions are not explainable. The article discusses an alternative approach to the development of artificial intelligence systems based on human-machine hybridization and their co-evolution.

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