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Organisational Structure

Ethical and Theoretical AI Lab

The Ethical and Theoretical AI Lab propels frontier research on basic theories of artificial intelligence, with a particular emphasis on machine and cognitive behavior studies, as well as central issues in philosophy, ethics, AI verifiability, and AI interpretability. Adopting global perspectives, the Lab focuses on highly topical issues in these cutting-edge research fields. We plan to recruit best-in-class researchers over the next three years, with the aim of pioneering world-class research in Hong Kong, so as to build up China’s leading Ethical and Theoretical AI Lab. The Lab will also join hands with global industry leaders, including Huawei, etc., to promote synergy between theoretical and practical pursuits, to effect social impact, and to refine and develop the discourses used to discuss crucial issues in ethical and theoretical AI. 

 

Laboratory Search Committee

Joint Chairs:

 

  • Prof. Mette HJORT, Dean, Faculty of Arts
  • Prof. Yi-Ke GUO, Vice-President (Research and Development)

 

Members:

 

  • Prof. Mark SHUTTLEWORTH (Translation, Interpreting and Intercultural Studies)
  • Prof. Jiming LIU (Computer Science)
  • Prof. Chris WONG  (Biology)
  • Dr. Ellen ZHANG  (Religion and Philosophy)
  • Prof. John ERNI  (Humanities and Creative Writing)
  • Dr. William CHEUNG  (Computer Science)
  • Prof. Christy CHEUNG  (Finance and Decision Sciences)
  • Dr. Celine SONG  (Journalism)
  • Prof. Xue-Cheng TAI  (Mathematics)

 

AI, Ethics and the Public Good – An Exhibition and Forum

poster  

 

 

Ethical and Theoretical AI Lab Zoom Lecture Series

Bias, Trust, and Doing Good: Scientific Explorations of Topics in AI Ethics by Prof. Joanna Bryson, Hertie School of Governance, Berlin

Bias, Trust, and Doing Good: Scientific Explorations of Topics in AI Ethics by Prof. Joanna Bryson, Hertie School of Governance, Berlin

Prof. Xiao WANG, Department of Statistics, Purdue University "Investigating into the Foundation of Machine Learning"

Prof. Xiao WANG, Department of Statistics, Purdue University "Investigating into the Foundation of Machine Learning"

Prof. Richard XU, University of Technology, Sydney (UTS)

Prof. Richard XU, University of Technology, Sydney (UTS)

 

Career Opportunities:

Chair Professor / Professor of Practice / Professor / Associate Professor (PR0410/19-20)