Explainable AI and its role in AI governance: Perspectives from Cognitive Science

Speaker: Prof. Janet Hsiao
Professor
Division of Social Science
Hong Kong University of Science and Technology

Title: "Explainable AI and its role in AI governance: Perspectives from
Cognitive Science"

Date: Thursday, 28 November 2024

Time: 4:00pm - 5:00pm

Venue: Room 4504 (via lift 25/26), HKUST

Abstract:

In this talk, I will introduce the importance of Cognitive Science
approaches to explainable AI research to facilitate human-AI interaction
and mutual understanding, when we are moving towards the next generation
explainable AI. I will also briefly introduce the role of explainable AI
in AI governance under the interdisciplinary framework we have developed
at the AI Ethics and Governance Lab.

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Biography:

Janet Hsiao is a Professor of Social Science at HKUST. Before joining
HKUST, she was a Professor of Psychology at HKU. She received her Ph.D. in
Informatics from University of Edinburgh and was a postdoctoral researcher
at UC San Diego. As a Cognitive Scientist, she is best known for her
research on learning and visual cognition using an interdisciplinary
approach including artificial intelligence, experimental psychology,
psycholinguistics, and cognitive neuroscience. She received the Best
Language Modelling Paper Prize from the Cognitive Science Society in 2006
and the Early Career Award from the RGC Hong Kong in 2012. She is now a
Fellow of the Cognitive Science Society and serves on the Governing Board,
and a Fellow of the Asia-Pacific Artificial Intelligence Association
(AAIA). She is also Editor-in-Chief of British Journal of Psychology and
an Associate Editor of Cognition.