“Enhancing user experience using AI for adaptive A/B testing” by Joseph Jay Williams

Join us in a hybrid setting at our next MScAC seminar, Monday December 12 at 5pm (ET). Hear from our special guest Joseph Jay Williams, Assistant Professor, Department of Computer Science, University of Toronto, Department of Psychology & Statistical Sciences, University of Toronto Vector Institute for Artificial Intelligence Faculty Affiliate, who will give an insightful talk on “Enhancing user experience using AI for adaptive A/B testing”.

In-person location:
700 University Ave, Toronto ON | Rooms 9014 and 9016
Note: Even if you are attending in-person, registration is still required. You may use the registration link below to secure your ticket.

About this event

This talk will consider how we can continuously enhance and personalize any real interface using AI for adaptive A/B testing. The use of Bayesian multi-armed bandit algorithms to automatically conduct and improve A/B testing, as well as the necessary statistical techniques to analyze and draw valid inferences from this data will be discussed. Illustrations for using AI for social good by incorporating cognitive, social, and clinical psychology, in learning on mental and physical health will be provided. The application of these techniques to solving business problems, such as improving websites, emails, recommender systems and other specific user interfaces and products will also be discussed.

Speaker Bio

Joseph Jay Williams is an Assistant Professor in Computer Science at the University of Toronto, has courtesy appointments in Statistical Sciences & Psychology (to accept & supervise Ph.D. students), and is a Vector Institute for Artificial Intelligence Faculty Affiliate. He leads the Intelligent Adaptive Interventions research group of 11 graduate students across HCI, Psychology, applied ML, & Statistics (www.intadaptint.org). More information about the Intelligent Adaptive Intervention group's research and papers is at www.josephjaywilliams.com.