NLP Seminar: Addressing Biases for Robust, Generalizable AI

Event Details
  • Date/Time:
    • Friday February 12, 2021
      12:30 pm - 1:30 pm
  • Location: Bluejeans - https://primetime.bluejeans.com/a2m/live-event/jzpdzxqz
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  • Fee(s):
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Contact

Jiaao Chen

jiaaochen@gatech.edu

Summaries

Summary Sentence: A seminar featuring Swabha Swayamdipta.

Full Summary: No summary paragraph submitted.

Speaker: Swabha Swayamdipta

Time: 02/12/2021, 12.30pm - 1.30pm

Locationhttps://primetime.bluejeans.com/a2m/live-event/jzpdzxqz

 

Title: Addressing Biases for Robust, Generalizable AI

Abstract:

Artificial Intelligence has made unprecedented progress in the past decade. However, there still remains a large gap between the decision-making capabilities of humans and machines. In this talk, I will investigate two factors to explain why. First, I will discuss the presence of undesirable biases in datasets, which ultimately hurt generalization. I will then present bias mitigation algorithms that boost the ability of AI models to generalize to unseen data. Second, I will explore task-specific prior knowledge which aids robust generalization, but is often ignored when training modern AI architectures. Throughout this discussion, I will focus my attention on language applications, and will show how certain underlying structures can provide useful biases for inferring meaning in natural language. I will conclude with a discussion of how the broader framework of dataset and model biases will play a critical role in the societal impact of AI, going forward.

Bio:

Swabha Swayamdipta is a postdoctoral investigator at the Allen Institute for AI, working with Yejin Choi. Her research focuses on natural language processing, where she explores dataset and linguistic structural biases, and model interpretability. Swabha received her Ph.D. from Carnegie Mellon University, under the supervision of Noah A. Smith and Chris Dyer. During most of her Ph.D. she was a visiting student at the University of Washington. She holds a Masters degree from Columbia University, where she was advised by Owen Rambow. Her research has been published at leading NLP and machine learning conferences, and has received an honorable mention for the best paper at ACL 2020.

Additional Information

In Campus Calendar
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Groups

College of Computing, ML@GT, School of Computational Science and Engineering, School of Computer Science, School of Interactive Computing

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
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Status
  • Created By: ablinder6
  • Workflow Status: Published
  • Created On: Feb 8, 2021 - 8:43am
  • Last Updated: Feb 8, 2021 - 8:43am