ANALYSIS OF THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN CORPORATE MANAGEMENT

The purpose of this article is to determine the prospects for using artificial intelligence (AI) technologies to improve the efficiency of corporate governance in general and to assess the prospects for its application to solve operational and strategic management problems. Currently, two paradigms have been formed that study the prospects for using AI in organizational research: a paradigm that considers artificial intelligence as a set of meta-algorithms capable of finding algorithms for solving specific corporate governance problems, and a paradigm that considers artificial intelligence as a means of optimizing human behavior in an organization. The process of making management decisions at the board level is highlighted as a key area of application of artificial intelligence in corporate governance. The capabilities of AI to improve the efficiency of making management decisions are identified and defined. Among them, the following can be distinguished: ensuring the necessary volume and variety of information with less resource consumption, rapid analysis of large data sets, development of reliable scenarios of the consequences of decisions made, impartiality of decisions, and others. Artificial intelligence technologies are already a useful tool for improving the efficiency of making management decisions, as shown by a number of examples from the practice of Russian corporations. The difficulties and problems that stand in the way of the widespread use of artificial intelligence technologies are analyzed: insufficient development of legislation regulating their use, protection of intellectual property in this area, data confidentiality; lack of clarity regarding responsibility for making risky decisions based on the use of artificial intelligence and their consequences. The use of artificial intelligence in corporate management is limited by a number of ethical problems associated with responsibility for the consequences of decisions made, a low level of legal support for its use and specific risks, the methodology for working with which requires further development.