Risks of Using Artificial Intelligence in Financial Activities: Approaches to their Identification and Minimization

Svetlana Gadzhieva

Abstract: The article focuses on the risks associated with the use of artificial intelligence in financial reporting. The purpose of this study is to identify the primary risks associated with the use of artificial intelligence in the financial statement preparation process and to develop strategies to mitigate them. The study hypothesizes that the use of a risk management system specifically designed to consider the features of AI can significantly reduce the likelihood of errors and abuses in the process of forming financial statements. The relevance of the study is that in recent years, the use of artificial intelligence (AI) technologies in various industries has increased significantly, including financial reporting. The introduction of AI into financial processes promises to increase efficiency, improve the accuracy of reports, and reduce data analysis time. However, the use of AI is also associated with many risks that can affect the reliability of financial information and, as a result, management decision - making. In conclusion, it is concluded that despite the significant advantages that artificial intelligence provides in the field of financial reporting, it is necessary to carefully consider the risks that arise. Identifying and minimizing these risks requires an integrated approach that includes data quality management, algorithm transparency, model testing, performance monitoring, and compliance with regulatory standards.

Keywords: AI, financial reporting, accounting, minimization, identification, standards