USE OF ARTIFICIAL INTELLIGENCE IN FINANCE AND NEW NUMBER SYSTEMS

Abstract

Artificial intelligence is increasingly becoming a pivotal element in everyday life; its effects are widely felt across all sectors and professional domains. Within this scope, the accounting profession is likewise influenced by this transformation; and, from the perspective of every state’s indispensable objective of preventing tax losses, artificial intelligence is assessed as capable of delivering significant advantages. In the reporting context, professional judgment is inherently a human process; therefore, it is concluded that artificial intelligence will not directly substitute the accounting reporting function. As in many fields today, opportunities and risks arising from digitalization and the use of artificial intelligence are actively debated in accounting; and it is observed that artificial intelligence focused on developing intelligent systems with human-like capabilities such as learning, planning, speaking, and problem-solving has begun to be applied in the accounting sector. The integration of artificial intelligence into accounting offers various conveniences for practitioners and users; however, it also points to potential issues that may emerge in the future. In banking, artificial intelligence applications are widely employed for obtaining market data, delivering banking services to customers, and facilitating communication; these applications are reported to strengthen banks’ reputations, enhance customer loyalty, contribute to new customer acquisition, reduce branch workloads, and increase service delivery speed. Thanks to AI-enabled solutions, banks are accelerating their access to customers and expanding the range of services they can offer with each passing day. With the digitalization of financial services, making individual investment decisions in an increasingly varied, complex, and volatile financial environment is becoming more challenging; rapidly evolving technology particularly artificial intelligence applications stands out as an indispensable support tool for individual investors. The proliferation of AI-based investment instruments (such as robo-advisors and algorithmic platforms) brings to the fore questions of how individual investors’ attitudes, susceptibility to influence, and usage tendencies toward these tools are shaped within their decision-making processes. The aim of this study is to examine this interaction in depth and to shed light on individual investors’ acceptance and usage tendencies of artificial intelligence in decision-making.