University of Pittsburgh

Two Brains are Better than One: User Control in Adaptive Information Access

Professor
Date: 
Friday, March 26, 2021 - 12:30pm - 1:30pm

In the recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas where they directly affect 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 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 studie over the last few years. A recognition of these problems motivated a rapid rise of research on “human-centered AI”, which attempted to address and minimize 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 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 combines strong side of artificial and humans intelligence and could lead to a better results. In my talk, I review several projects focused on user control in adaptive information access systems and discuss benefits and challenges of this approach. 

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