*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Allie McFadden
Communications Officer
allison.blinder@cc.gatech.edu
Summary Sentence: Gebru just finished her postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project.
Full Summary: The Machine Learning Center at Georgia Tech presents a seminar by Timnit Gebru of Microsoft Research. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public.
Timnit GebruThe Machine Learning Center at Georgia Tech presents a seminar by Timnit Gebru of Microsoft Research. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public.
For scheduling information, please contact Dhruv Batra at dbatra@gatech.edu
Abstract
TBA
Bio
Gebru just finished her postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project.
She received her Ph.D. from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her thesis pertains to data mining large-scale publicly available images to gain sociological insight and working on computer vision problems that arise as a result. The Economist and others have recently covered part of this work. Some of the computer vision areas she is interested in include fine-grained image recognition, scalable annotation of images, and domain adaptation. Prior to joining Fei-Fei's lab Gebru worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad. She also spent an obligatory year as an entrepreneur (as all Stanford undergrads seem to do). Her research was supported by the NSF foundation GRFP fellowship and the Stanford DARE fellowship
