Analysis of interfaces informativeness issues in the development of autonomous artificial intelligence systems for corporate management

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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.

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Corporate governance, artificial intelligence, machine learning, androids

Короткий адрес: https://sciup.org/142245011

IDR: 142245011

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