AI as a mitigator of information asymmetry within platform strategiarchy logic

• Дата: 2024
• Автор: Vyshnevskyi, O.
• Формат: Стаття
• Мова: English
• Опубліковано: Інститут економіки промисловості НАН України 2024
• Назва видання: Економічний вісник Донбасу
• Теми: Macroeconomics, economic theory and history
• Онлайн доступ: https://nasplib.isofts.kiev.ua/handle/123456789/203372
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Цитувати: AI as a mitigator of information asymmetry within platform strategiarchy logic / О. Vyshnevskyi // Економічний вісник Донбасу. — 2024. — № 4 (78). — С. 5-11. — Бібліогр.: 13 назв. — англ.

This paper aims to describe role of AI, deployed on a platform of strategizing, functions as a third party to mitigate information asymmetry within the framework of signaling theory. The entire history of human development can be viewed from the standpoint of the desire to overcome information asymmetry. This takes the significance of the category "information asymmetry" to a new level, demonstrating its universal nature. Thus, information asymmetry is a universal category that is an integral characteristic of the development of nature and society, as well as all possible types of communications between key actors: individuals, organizations, nature and AI. The four primary categories of actors (persons, organizations, nature, AI) give rise to 10 different types of interaction, which are divided into two groups (peer-level and hierarchical). Actors have different amounts of information, which describes information asymmetry. In turn, information asymmetry generates economic inequality. The negative effects of information asymmetry can be reduced in two strategic approaches: either by providing additional information to the less informed party, or by redistributing the economic benefits received by the more informed party in favor of the less informed party. Both of these strategic approaches can be implemented within the framework of the logic of platform strategiarchy using artificial intelligence. This assumes that all actors have formalized public strategies that are taken into account when concluding and implementing smart contracts. This approach can be considered as a further development of the provisions of the signaling theory (by M Spence), where public strategies play role of reliable signals.