Most of the current AI techniques especially related to machine learning (ML) are heavily data-driven. For example, the recent success of neural networks-based deep learning has been predicated upon the availability of large-scale high-quality data. While AI algorithms help unlock value from data, there are many attendant risks involved. They range from private sensitive data being leaked (directly or through inference) to adversarial attacks on ML. This is of significant concern due to regulatory compliance issues due to acts such as PDPA and GDPR. Other risks involve bias in the data as well as algorithms and fairness of outcomes.
The speakers will first introduce the risks involved related to AI and Data Privacy. They will also touch upon the current thinking as well as the research being done to help manage these risks.
Date: 28 August 2019, Wednesday
Time: 4:00pm – 6:00pm
Venue: 32 Carpenter Street, Singapore 059911
3:30 pm – 4:00 pm: Registration
4:00 pm – 4:05 pm: Introduction to NUS Smart Systems Institute
4:05 pm – 4:45 pm: Keynote Presentations
4:45 pm – 5:30 pm: Panel Discussion & Q&A
5:30 pm – 6:00 pm: Networking
Professor Mohan Kankanhalli is the Dean of NUS School of Computing where he is the Provost’s Chair Professor of Computer Science. Before becoming the Dean in 2016, He was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013.
His research interests are in Multimedia Computing, Information Security and Privacy, Image/Video Processing and Social Media Analysis. He has made many contributions in the area of multimedia content processing – image and video understanding, data fusion, visual saliency as well as in multimedia security – content authentication and privacy, multi-camera surveillance. He is actively involved in the Multimedia Systems research community and was the Director of Conferences for ACM SIG Multimedia during 2009-2013. He is on the editorial boards of several journals including ACM Transactions on Multimedia Computing, Communications and Applications, Springer Multimedia Systems, IEEE Multimedia, Pattern Recognition, and Journal on Big Data.
He directs N-CRiPT (NUS Centre for Research in Privacy Technologies) which conducts research on privacy on structured as well as unstructured data. He is personally involved in privacy research related to images, video and social media as well as privacy risk management. N-CRiPT, which has been funded by Singapore’s National Research Foundation, works with many industry, government and academic partners.
Professor Jussi Keppo
Principal Investigator, NUS Centre for Research in Privacy Technologies (N-CRiPT)
Dean’s Chair, NUS Business School
Co-Director, NUS Business Analytics Center
National University of Singapore
Professor Keppo teaches risk management and analytics courses and directs analytics executive education programs at NUS Business School. He is also Co-Director of NUS Business Analytics Center. Previously, he taught at the University of Michigan.
He has several publications in the top-tier journals such as Journal of Economic Theory, Review of Economic Studies, Management Science, Operations Research, and Journal of Business on topics such as investment analysis, banking regulation, learning, and strategic incentives. His research has been featured also in numerous business and popular publications, including the Wall Street Journal and Fortune.
Professor Keppo’s research has been supported by several Asian, European, and US agencies such as the National Science Foundation. He serves on the editorial boards of Management Science, Mathematics of Operations Research, Journal of Risk, Production and Operations Management, and Journal of Energy Markets. He has consulted several startups, Fortune 100 companies, and financial institutions.
Celine Le Cotonnec
Chief Data Officer, AXA Singapore
Smart Systems Institute
National University of Singapore
Innovation 4.0, #06-01
3 Research Link
Ms Chong Pui San, Tricia
Tel: 6516 7513
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