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TRANSFORMATION OF THE DECISION-MAKING PROCESS IN THE ERA OF ARTIFICIAL INTELLIGENCE

Zadornov Aleksandr Andreevich  (postgraduate’s student Moscow State Automobile and Road Technical University (MADI) )

Yurchik Peter Frantsevich  (D.Sc. (Technology), Professor, Moscow State Automobile and Road Technical University (MADI) )

This paper explores the impact of artificial intelligence (AI) on the transformation of decision-making processes, as well as the integration of AI into various organizational and business processes. The main approaches and models, such as the symbolic approach, neural networks, and hybrid methods, are examined, along with their impact on decision-making under uncertainty. The evolution of integration mechanisms is described, ranging from the automation of routine tasks to adaptive decision-making with AI. Special attention is given to the risks associated with AI implementation, such as the "black box" problem and data bias. Recommendations are provided for organizations aiming to effectively integrate AI into decision-making processes, as well as areas for future research.

Keywords:artificial intelligence, decision-making, AI integration, symbolic approach, neural networks, adaptive decision-making, automation, evolution, risks, ethics.
 

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Citation link:
Zadornov A. A., Yurchik P. F. TRANSFORMATION OF THE DECISION-MAKING PROCESS IN THE ERA OF ARTIFICIAL INTELLIGENCE // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 93-98 DOI 10.37882/2223-2966.2026.01.16
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