Join us on October 1 at 5 p.m. for the annual Gitner Family Lecture as part of virtual Alumni Weekend. Associate Professor of Computer Science Kate Saenko will give this year’s lecture, titled “Overcoming Dataset Bias in Artificial Intelligence.” Her talk will focus on 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.
You can register at the Alumni Weekend website.
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 broad area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning.
The annual Gerald and Deanne Gitner Family College of Arts & Sciences Lecture is designed to highlight a current CAS faculty members, in any field, whose teaching and research addresses topics of major importance for the broad interest and benefit of the BU community. It is held in the fall, usually in conjunction with Alumni Weekend.