ARTIFICIAL INTELLIGENCE SERVICES: DIRECTIONS AND APPLICATION ISSUES

The diversity of artificial intelligence (AI) services requires the development of a balanced policy for their use. First and foremost, this needs to involve the systematization of information on the types of AI, areas of application, problems, and ways to overcome them, which is the aim of this study. The following methods were used for the study: an experiment for working with AI services; a comparison method for choosing the most efficient AI service; an analysis and synthesis method for determining the types of AI construction/development. Based on the results of testing various AI services, the following types of their construction/development have been identified: horizontal, vertical, multimodal, conglomerate, and mixed. Despite the constant development and improvement of AI services, a number of problems related to their use still remain relevant. We have identified the ways to overcome them: synchronized with the development of AI, intensification of information and educational support, development of critical thinking, AI skills, and software engineering, preservation of access to the free AI service plan, government regulation, and development of a corporate policy on the use of AI.