Analysis of interfaces informativeness issues in the development of autonomous artificial intelligence systems for corporate management
Автор: Romanova A.S.
Журнал: Труды Московского физико-технического института @trudy-mipt
Рубрика: Математика
Статья в выпуске: 2 (66) т.17, 2025 года.
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The two main types of interfaces can be distinguished in the development and implementation of autonomous AI systems for corporate management: digital control panels and personalised systems — virtual agents and anthropomorphic robots. Hybrid systems are also expected to emerge by combining multifunctional digital command centres and personalised systems. Our study provides a detailed overview of the approaches used in the development of interfaces for autonomous corporate governance systems. Then, we propose a conceptual framework for the development of interfaces for autonomous AI systems that takes into account the principles of demonstrating the legitimacy and ethics of the management decisions made.
Corporate governance, artificial intelligence, machine learning, androids
Короткий адрес: https://sciup.org/142245011
IDR: 142245011