USE OF ARTIFICIAL INTELLIGENCE IN SOLVING THE PROBLEMS OF THE FINANCIAL STATEMENT ASSYMETRY
DOI:
https://doi.org/10.25806/uu11-32021764-770Статья поступила в редакцию: 29.11.2021
Статья принята к публикации: 07.12.2021
Статья опубликована: 14.12.2021
Keywords:
financial statement fraud; sustainable development; capital market; information asymmetry; deep learning; recurrent neural network.Abstract
With the advent of the big data era, new technologies such as cloud computing and artificial intelligence are changing every day. More and more science and technology are being applied in the financial sector, which greatly contributes to a new round of prosperity and development of financial markets. However, because big data has characteristics such as high speed of propagation, wide penetration, strong obscurity and complexity of supervision, the integration of technology and finance in the age of big data also raises some new risk issues. With this in mind, this article begins with the connotation and characteristics of financial technology, summarizes the risk characteristics of financial technology, and suggests appropriate countermeasures to promote healthy and sustainable financial technology development. Information asymmetry is everywhere in financial status, financial information, and financial reports due to agency problems and thus may seriously jeopardize the sustainability of corporate operations and the proper functioning of capital markets. In this era of big data and artificial intelligence, deep learning is being applied to many different domains.
Информация о публикации
Финансирование: Исследование выполнено без привлечения внешнего финансирования, если иное не указано авторами.
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Правообладатель: Издательский дом «Академический».
Лицензия: Статья распространяется на условиях лицензии Creative Commons Attribution 4.0 International (CC BY 4.0).
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