In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas where they directly affect the lives of many people. AI-based approaches advise human decision-makers who 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 to fail a course. Such an extensive use in AI in decision making came with a range of protentional problems that have been extensively studied over the last 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. Among the ideas of human-centered AI is user control - engaging users in affecting AI decision making to prevent possible errors and biases. In my talk, I will focus on the application of user control in one popular area of AI application, adaptive information access. Adaptive information access systems such as personalized search and recommender systems attempt to model their users to help them in finding the most relevant information. Yet, user modeling and personalization mechanisms might not always work as expected resulting in errors, biases, and suboptimal behavior. Combining the decision power or AI with the ability of the user to guide and control it brings together the strong sides of artificial and human intelligence and could lead to better results. In this talk, I will review the work of our team and the broader research community focused on adding various kinds of user control to adaptive information access systems and discuss lessons learned, prospects, and challenges of this direction of research.
Peter Brusilovsky is a Professor of Information Science and Intelligent Systems at the University of Pittsburgh, where he directs Personalized Adaptive Web Systems (PAWS) lab. Peter has been working in the field of personalized learning, student and user modeling, recommender systems, and intelligent user interfaces for over 30 years. He published numerous papers and edited books on adaptive hypermedia, and the adaptive Web, and social information access. He is a recipient of Alexander von Humboldt Fellowship, NSF CAREER Award, and Fulbright-Nokia Distinguished Chair. Peter served as the Editor-in-Chief of IEEE Transactions on Learning Technologies, and a program chair for several conferences including RecSys 2019. He is currently serving as the Chair of ACM SIGWEB and a board member of several journals including User Modeling and User Adapted Interaction, ACM Transactions on Social Competing and International Journal of AI in Education. His current interests are focused on user-centered intelligent systems in the areas of adaptive learning, recommender systems, and personalized health.
Sennott Square Building, Room 5317
Friday, April 7 at 2:00 p.m. to 3:30 p.m.