The phenomenon of risk under the application of artificial intelligence algorithms

With the advent of large language models, researchers became interested in artificial intelligence algorithms and their application in the activities of enterprises. Such algorithms have already made a significant contribution in the fields of medicine, transport and finance. It is now necessary to understand what side effects artificial intelligence algorithms may cause once they are integrated into the production of goods and services. The purpose of this work is to identify risk factors for the use of algorithms and artificial intelligence systems, assess their impact on the level of risk and offer tools to reduce the level of risk. As a result of the conducted research, the term “artificial intelligence” was clarified; algorithms for analytical, functional, interactive, textual and visual artificial intelligence were identified. The modern artificial intelligence system represents the next wave of enterprise automation. Using the methods of system economic theory and operational theory, the risk factors for the use of artificial intelligence algorithms in the object, process, design and environmental subsystems of the enterprise are classified. Anti-risk management actions are proposed to reduce the likelihood of a risk situation or to compensate for the damage caused. The changes in the activities of large companies in the field of information technology related to the change in the concept of copyright and intellectual property are described. The limitations of the introduction and application of artificial intelligence algorithms associated with the inertia of managers’ thinking and the complexity of restructuring business processes at the enterprise are shown. The necessity of regulation in the field of the introduction of artificial intelligence systems, the definition of clear boundaries and restrictions to ensure the safety of individuals and society as a whole, and their compliance with ethical standards are substantiated.