Knowledge and Data in Artificial Intelligence Systems

The paper presents an analysis of the main approaches to creating artificial intelligence systems—an approach based on knowledge and data. The main advantages and limitations of each approach are highlighted. It is noted that, despite the great popularity of the data-driven approach, researchers pay insufficient attention to the creation of methods and approaches for working with small data. The important role of expert knowledge for the creation of intelligent systems is noted. The paper argues that it is the integration of the two approaches that is promising for the successful solution of a wide range of intelligent problems and will allow solving the problems of explainability for different levels of end users of intelligent systems.