Peter Brusilovsky is a Professor of Information Science and Intelligent Systems at the School of Computing and Information, University of Pittsburgh, where he also directs the Personalized Adaptive Web Systems (PAWS) lab.

In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas directly affecting the lives of millions. AI-based approaches advise human decision-makers on whether a person should be released on bail, whether it is a good time to discharge a patient from a hospital, and whether a specific student is at risk of failing a course. The extensive use of AI in decision-making has been accompanied by a range of potential problems that have been extensively studied over the past few years. Recognition of these problems motivated a rapid rise of research on “human-centered AI”, which attempted to address and minimize the negative effects of using AI technologies. The majority of work on human-centered AI focuses on various types of human-AI collaboration through such technologies as transparency, explainability, and user control. In his talk, Peter Brusilovsky will review how the ideas of Human-AI collaboration, transparency, explainability, and user control have been used in educational applications of AI in the past and will discuss the new ideas in this research area developed outside of AI-Ed that could be creatively applied in an educational context.