Development of Autonomous Artificial Intelligence Systems for Corporate Management
Anna Romanova

TL;DR
This paper explores the development of autonomous AI systems for corporate management, emphasizing legal, ethical, and practical considerations for automating board-level decisions to enhance efficiency and inclusivity.
Contribution
It proposes methodological approaches for integrating autonomous AI directors into corporate law and discusses practical options for automating top management decisions.
Findings
AI systems must meet non-discrimination, transparency, and accountability standards.
Two main automation options: digital command centers and function-specific automation.
Autonomous AI can help address human capital shortages and improve global competitiveness.
Abstract
The article discusses development of autonomous artificial intelligence systems for corporate management. The function of a corporate director is still one of the few that are legislated for execution by a "natural" rather than an "artificial" person. The main prerequisites for development of systems for full automation of management decisions made at the level of a board of directors are formed in the field of corporate law, machine learning, and compliance with the rules of non-discrimination, transparency, and accountability of decisions made and algorithms applied. The basic methodological approaches in terms of corporate law for the "autonomous director" have already been developed and do not get rejection among representatives of the legal sciences. However, there is an undeniable need for further extensive research in order to amend corporate law to effectively introduce…
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