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ALGORITHMIC DECISION-MAKING SYSTEMS IN POLITICS

Kravets Polina   (Bauman Moscow State Technical University, Moscow, Russia)

Algorithmic decision-making (ADM) has the potential to improve political decision-making by providing decision makers with access to information and data analysis that may be inaccessible or time-consuming for humans. Automated decision-making systems have the potential to replace and surpass people in making political decisions. However, the article will show that algorithms are not a qualitative solution to the problems of democratic systems, since the use of intelligent systems in the process of making political decisions risks underestimating or distorting the internal complexity and nature of democracy itself. As it will be revealed, the main problem is that the idea of making more effective decisions with the help of computer technology requires a clear standard of what, first of all, is a "good" solution.

Keywords:algorithmic decision-making, artificial intelligence, political decisions, ADM systems, intelligent systems

 

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Citation link:
Kravets P. ALGORITHMIC DECISION-MAKING SYSTEMS IN POLITICS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№10. -С. 70-73 DOI 10.37882/2223-2966.2023.10.18
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