Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies

PhD Qualifying Examination


Title: "Towards Human-centered Design of Explainable Artificial Intelligence 
(XAI): A Survey of Empirical Studies"

by

Mr. Shuai MA


Abstract:

With the advances of AI research, AI has been increasingly adopted in numerous 
domains, ranging from low-stakes daily tasks such as movie recommendations to 
high-stakes tasks such as medicine, and criminal justice decision-making. 
Explainability is becoming an essential requirement for people to understand, 
trust and adopt AI applications.

Despite a vast collection of explainable AI (XAI) algorithms produced by the AI 
research community, successful examples of XAI are still relatively scarce in 
real-world AI applications. This can be due to the gap between what the XAI is 
designed for and how the XAI is actually perceived by end-users. As 
explainability is an inherently human-centered property, in recent years, the 
XAI field is starting to embrace human-centered approaches and increasingly 
realizing the importance of empirical studies of XAI design by involving human 
subjects.

To move a step towards a systematic review of empirical study for 
human-centered XAI design, in this survey, we first brief the technical 
landscape of commonly used XAI algorithms in existing empirical studies. Then 
we analyze the diverse stakeholders and needs-finding approaches. Next, we 
provide an overview of the design space explored in the current human-centered 
XAI design. Further, we summarize the evaluation metrics based on evaluation 
goals. Afterward, we analyze the common findings and pitfalls derived from 
existing studies. For each chapter, we provide a summary of current challenges 
and research opportunities. Finally, we conclude the survey with a framework 
for human-centered XAI design with empirical studies.


Date:			Tuesday, 19 April 2022

Time:                  	3:30pm - 5:30pm

Zoom Meeting:		https://hkust.zoom.us/j/3990780433

Committee Members:	Dr. Xiaojuan Ma (Supervisor)
 			Prof. Huamin Qu (Chairperson)
 			Prof. Qiong Luo
 			Dr Mingming Fan (ISD)


**** ALL are Welcome ****