GVU Center Brown Bag: Q. Vera Liao — Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

*********************************
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
*********************************

Event Details
Contact

gvu@cc.gatech.edu

Summaries

Summary Sentence: This seminar will draw on research and HCI work to highlight how human-centered approaches can shape XAI technologies.

Full Summary: Q. Vera Liao (Principal Researcher, Microsoft Research Montreal) presents research and broad HCI work to highlight the central role that human-centered approaches should play in shaping XAI technologies and provides conceptual frameworks for human-compatible XAI.

Media
  • Q. Vera Liao Photo 2021 Q. Vera Liao Photo 2021
    (image/jpeg)

Abstract:

Artificial Intelligence technologies are increasingly used to make decisions and perform autonomous tasks in critical domains. The need to understand AI in order to improve, contest, develop appropriate trust and better interact with AI systems has spurred great academic and public interest in Explainable AI (XAI). The technical field of XAI has produced a vast collection of algorithms in recent years. However, explainability is an inherently human-centric property and the field is starting to embrace human-centered approaches. Human-computer interaction (HCI) research and user experience (UX) design in this area are increasingly important especially as practitioners begin to leverage XAI algorithms to build XAI applications. In this talk, I will draw on our research and broad HCI work to highlight the central role that human-centered approaches should play in shaping XAI technologies, including to drive technical choices by understanding user needs, to uncover pitfalls of existing XAI methods, and to provide conceptual frameworks for human-compatible XAI.

 

Speaker Bio:

Q. Vera Liao is a Principal Researcher at Microsoft Research Montreal. Her current interest is in human-AI interaction and explainable AI, with a focus on bridging state-of-the-art AI technologies and user-centered design practices. She serves as the Co-Editor-in-Chief for Springer HCI Series, on the Editorial Board of IJHCS and ACM TiiS, and has been on the Organizing Committee for IUI 2019 and CSCW 2021. Before joining MSR, she worked at IBM T.J. Watson Research Center.

Watch via BlueJeans Event: https://primetime.bluejeans.com/a2m/live-event/wxgexbkb

Schedule of Brown Bag Speakers Fall 2021

Additional Information

In Campus Calendar
Yes
Groups

College of Computing, GVU Center, IPaT, School of Interactive Computing

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Dorie Taylor
  • Workflow Status: Published
  • Created On: Oct 20, 2021 - 10:02am
  • Last Updated: Oct 28, 2021 - 3:18pm