Application of Artificial Intelligence to Command and Control Systems

1989 ◽  
Vol 1 (6) ◽  
pp. 261
Author(s):  
I.C. Pyle
2021 ◽  
Vol 10 (2) ◽  
pp. 54-63
Author(s):  
Cezar POPA ◽  
Ion MITULEȚU

With the diversification of risks and threats in the multidimensional operational environment, in variable geometry conflicts, state-of-the-art technology must be used at all times in the architecture of command and control systems. This will ensure optimal response conditions both at the planning level and at the level of the execution of the military operation/action. Real-time communication, horizontally and vertically, between tactical level forces, operational and strategic level command and support structures, and with other institutions with security and defence responsibilities can only be ensured and protected by using advanced technologies. Not to be neglected at all is the training of the human resource for an efficient use of equipment as well as the algorithms and processes for making an efficient decision-making process, in line with technical, technological and artificial intelligence developments.   Keywords: command and control; artificial intelligence; efficiency; technologies; 'Information Technologies.  


2021 ◽  
Vol 4 (2) ◽  
pp. 125-144
Author(s):  
Natalia Mironova

The digital transformation of processes and control systems in the last decade has been accompanied by the introduction of artificial intelligence technologies. The purpose of this study is to investigate the conditions for the safe use of intelligent technologies and tools for managing social infrastructure. The research methodology bases on an integrated approach, comparative analysis, and logical synthesis. The author suggests a philosophical analysis of existential risks of intellectual automation of social management and the mechanisms of their implementation, and also investigates the conditions for a safer use of technologies for intelligent automation of socially significant decisions. Generalized measures and search directions are proposed to reduce a number of risks associated with intelligent automation of control.


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