Game theory for autonomous AI systems in corporate governance.
https://doi.org/10.21683/1729-2646-2025-25-2-50-58
Abstract
Despite the fact that modern artificial intelligence technologies are largely based on machine learning, machine learning algorithms themselves are not a strategy. We will define a strategy as a complete description of how a system will behave under all possible circumstances. Game theory appears to be the most promising tool that allows autonomous systems to make effective decisions when managing corporations. Given the variety of problems faced by boards of directors, game theory that has found application in economics, political science, pure mathematics, psychology, sociology, marketing and finance, potentially enables an autonomous artificial intelligence system based on effective strategy simulation. If the development of ethical and legitimate autonomous AI systems is mandatory, some dilemmas of game theory itself either become nonexistent or change their meaning in the context of game theory.
About the Author
A. S. Romanova
Moscow Institute of Physics and Technology (National Research University)
Russian Federation
Russian Federation
Anna S. Romanova, an expert in digital transformation, Candidate of Economics,Postgraduate student, Artificial Intelligence and Machine Learning
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For citations:
Romanova A.S. Game theory for autonomous AI systems in corporate governance. Dependability. 2025;25(2):50-58. (In Russ.) https://doi.org/10.21683/1729-2646-2025-25-2-50-58
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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)
ISSN 2500-3909 (Online)
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