Human-AI Collaboration in Adaptive Information Access: From Adaptive Hypermedia to Recommender Systems

Peter Brusilovsky

University of Pittsburgh, Pennsylvania, Estados Unidos

Resumen/Abstract

One of the challenges of modern Human-Centered AI is developing efficient approaches for Human-AI collaboration, a partnership where people and artificial intelligence systems work together, combining their strengths to achieve better outcomes than either could achieve alone. Among the areas where Human-AI collaboration approaches have already demonstrated their value is adaptive information access. Adaptive information access systems, such as adaptive hypermedia, personalized search, and recommender systems, attempt to model their users to help them in finding the most relevant information. Yet, their AI-based user modeling and personalization mechanisms might not always work as expected, resulting in errors, biases, and suboptimal behavior. Combining the decision power of 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, Prof. Brusilovsky will review the work of his team and the broader research community on exploring the ideas of human-AI collaboration in adaptive information access systems and discuss lessons learned, prospects, and challenges of this direction of research.

Curriculum ponente

Dr. Peter Brusilovsky is a Professor of Information Science and Intelligent Systems at the University of Pittsburgh, where he directs the 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, the adaptive Web, and social information access. He is a recipient of the Alexander von Humboldt Fellowship, the NSF CAREER Award, and the Fulbright-Nokia Distinguished Chair. Peter served as the Editor-in-Chief of IEEE Transactions on Learning Technologies and a program chair for several conferences. He is the Past Chair of ACM SIGWEB and a board member of several journals including User Modeling and User Adapted Interaction, ACM Transactions on Social Computing, 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.