Research Grants Council to present public lecture on “Fintech and Artificial Intelligence” on May 19

The following is issued on behalf of the University Grants Committee:
 
     The Research Grants Council (RGC) will present its first public lecture this year under the theme "Fintech and Artificial Intelligence" on May 19 (Saturday) at the Hong Kong Science Museum.
 
     The RGC has invited Associate Professor of the Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology Dr James Kwok and Associate Professor of the Department of Computer Science at the City University of Hong Kong Dr Andy Chun to share their research findings and knowledge with the public. Details are as follows:
 
Time: 2.30pm to 4.30pm
Venue: Lecture Hall, Hong Kong Science Museum
Language: Cantonese
Admission is free on a first-come, first-served basis.
 
     Stock markets are fraught with ups and downs. However, financial institutions and financial market experts still make profits from stock markets with their knowledge and strategies. Artificial intelligence (AI) can learn from past experience, adjust to new data, and make decisions better and faster than humans. Dr Kwok will deliver a talk on "Can AI predict stock prices?" to explain how to train AI and turn it into a full-fledged financial market expert.
 
     AI and Fintech bring benefits to our everyday life. Dr Chun will give a lecture entitled "AI/Fintech and their future impact to our daily lives" to provide an overview of the current and potential developments of AI and Fintech, as well as their potential risks to our daily lives. He will also explore the privacy, security and moral/ethical issues arising from the use of these technologies.
 
     The public lectures of the RGC aim at arousing public interest in local research developments. Since 2009, the RGC has invited numerous leading scholars to speak at these lectures. For enquiries, please call 2524 3987 or visit the University Grants Committee webpage (www.ugc.edu.hk/eng/rgc/lectures/lectures.html).