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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:

Prof.Min Xie,City University of Hong Kong

Inviter:  
Title:
How reliable is AI?
Time & Venue:
2018.11.8 15:00-16:00 S309
Abstract:
Artificial intelligence (AI) is a popular topic for research and application today. We can find people talking about different AI methodologies and application examples in different contexts. However, there are many challenging problems with AI applications, and we are not sure when and how much we can rely on AI. In fact, how to measure the reliability of AI is unclear to begin with, not to say how to develop reliable AI technology and systems. In this talk, we will share some of the thoughts and experience from systems engineering perspective and discuss some of these issues. Some of the research related to software reliability, hardware reliability and combined systems can be strongly linked to this. AI applications also rely on the availability of large amount of data that may have other issues such as data uncertainty and integration.

报告人简介:Prof. Min Xie completed his undergraduate study at Royal Institute of Technology, Stockholm, and he later received his PhD in 1987 from Linkoping University, Sweden, specializing in reliability and quality engineering. Before that, he was a student at Univ of Science and Technology of China 1978-1979. Dr Xie joined the National University of Singapore in 1991 as one of the first recipients of the prestigious Lee Kuan Yew Research Fellowship. After 20 years there, he moved to City University of Hong Kong as Chair Prof of Industrial Engineering in 2011, currently also serving as an Associate Dean at College of Science and Engineering. Prof Xie serves an editor, associate editor and on the editorial board of 20 established international journals. Prof Xie has supervised about 50 PhD students and they hold regular position in banking, industry and academia in different continents. Prof Xie was elected fellow of IEEE in 2005.
 

 

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