Machine Learning Seminar Fall 2018 — Timnit Gebru of Microsoft Research

Event Details
  • Date/Time:
    • Wednesday September 5, 2018
      12:15 pm - 1:15 pm
  • Location: Marcus Nanotechnology Building, Rooms 1116-1118
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Allie McFadden

Communications Officer

allison.blinder@cc.gatech.edu

Summaries

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.

Media
  • Timnit Gebru Timnit Gebru
    (image/jpeg)

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.

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

Additional Information

In Campus Calendar
Yes
Groups

Institute for Data Engineering and Science

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
graduate students, seminar
Status
  • Created By: Jennifer Salazar
  • Workflow Status: Published
  • Created On: Aug 17, 2018 - 1:38pm
  • Last Updated: Aug 17, 2018 - 1:38pm