Intelligent technologies' efficiency is based not only on the technologies themselves and their computational capacity, but also on their compliance with the interests and preferences of users. The main goal of Human-Centered AI lies in the development of intelligent solutions that would not only increase people's abilities to perform tasks but also allow them to interact with other agents and make sure that the technologies used are transparent and useful for humans. Decision Support Systems represent another important area in the field of intelligent systems, as they provide an opportunity to convert data in a form which can be understood by people and support their decisions when choosing between various options. As intelligent technologies are becoming increasingly more popular among professionals, industry leaders, and citizens in general, it is necessary to develop methods aimed at striking a balance between automatization and people's control. In that regard, the scope of research accepted by the Journal of Advanced Data Science and Computational Intelligence includes user-oriented AI algorithms, collaborative intelligence, decision support systems with explanations of their functioning, interactive learning systems, and methods facilitating human-machine collaboration.