Kate Saenko’s talk at BU Alumni Weekend 2020

It’s that time of year again! BU Alumni Weekend ‘Reimagined’ 2020 is coming up and as part of virtual Alumni Weekend, Associate Professor of Computer Science Kate Saenko is giving this year’s lecture on “Overcoming Dataset Bias in Artificial Intelligence.” The annual Gerald and Deanne Gitner Family College of Arts & Sciences Lecture is designed to highlight current CAS faculty members teaching and research, which addresses topics of major importance for the broad interest and benefit of the BU community. 

The talk will be discussing the learning algorithms called artificial neural networks, which are vulnerable to the problem of “dataset bias,” which happens when the algorithm’s training data is not representative of future test data.

Kate leads the Computer Vision and Learning Group at BU and is the founder and co-director of the Artificial Intelligence Research (AIR) initiative. She received a Ph.D. from MIT and did her postdoctoral training at UC Berkeley and Harvard. Her research interests are in the wide area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning.

Join the virtual Alumni Weekend on October 1 at 5 p.m. for the annual Gitner Family Lecture. For registrations, you can go to the Alumni Weekend website.