Machine Learning Coffee seminar: Antti Oulasvirta, Aalto University "Gray Box Models for Controllable and Transparent Interactive AI"
Gray Box Models for Controllable and Transparent Interactive AI
Professor of Computer Science
Gray box modelling combines first principles -based white box models with a data-driven approach to strike a balance between representation power and ontrollability. I discuss interactive AI and computational design as application areas for gray box models. So-called light gray models learn psychological parameters from data. Dark gray models, on the other hand, are data-driven models pretrained with white-box models. As a promising approach in intelligent user interfaces, I discuss models of human performance and cognition, which can predict the human consequences of a design decision. These models can 1) represent population and individual characteristics in a psychologically meaningful way and 2) predict the adaptive behavioral response of a person. However, previously their use has been limited because of lack of appropriate likelihood inference methods. I discuss the use of probabilistic machine learning methods for learning model parameters from real world data and taking decisions in the light of confidence levels.