Artificial Intelligence advancing both technological frontiers and the global good
With the rapid development of AI technologies witnessed over the past decade, such as large language models and foundation models, there is consensus that the field is indeed primed to have a significant impact on society. Distilling from historical definitions, AI can be seen as the science and engineering of intelligent machines. The long-term goal is therefore to develop machines that can think, act and learn by themselves, targeting the greater good of countries, economies, and societies. Being cognizant of the challenges and opportunities in present AI research, it is important to set guidance to those who are developing the technologies to realize those intelligent machines and to create positive impact as a result. In this talk, foundation capabilities that form the basis of long-term endeavours to realize the full potential of AI are discussed. These foundation capabilities which have been conceived with a strategy of balancing AI risks and growth including Responsible AI, Sustainable AI, Rationalizable AI and Synergistic AI, shall be discussed. A case study showcasing the use of Generative AI and foundation models for scientific discovery will illustrate how these foundational capabilities can translate into real-world impact, advancing both technological frontiers and the global good.
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- Shenzhen University
- Shenzhen, Guangdong
- China
- Building: Auditorium No. 2, Huixing Building
Speakers
Yew-Soon Ong
Biography:
Yew-Soon Ong is currently President’s Chair Professor of Computer Science at the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. At the same time, he is Chief Artificial Intelligence (CAS) Scientist of the Singapore’s Agency for Science, Technology and Research (A*STAR). At NTU, he presently serves as co-Director of the Singtel-NTU Cognitive & Artificial Intelligence Joint Lab (SCALE@NTU). He was Chair of the School of Computer Science and Engineering (SCSE), Nanyang Technological University from 2016-2018, Director of the Data Science and Artificial Intelligence Research Center (DSAIR) from 2016-2022, Director of the Centre for Computational Intelligence from 2008-2015 and Programme Principal Investigator of the Data Analytics & Complex System Programme Rolls-Royce@NTU Corporate Lab from 2013-2017.He is a Fellow of IEEE and founding Editor-In-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence , Associate Editor of IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Network & Learning Systems, IEEE Transactions on Artificial Intelligence, and chief co-editor of Book Series on Studies in Adaptation, Learning, and Optimization. He was listed as a Thomson Reuters Highly Cited Researcher in 2015 and 2016 and among the World’s Most Influential Scientific Minds. He has received 4 IEEE top publication awards, including the 2023 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, the 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards for his works in Transfer and Multitask Optimization, and the 2015 IEEE Computational Intelligence Magazine Outstanding Paper Award, 2012 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his works in Memetic Computation. Yew-Soon Ong has been a professorial fellow of the University of New South Wales (Australia), visiting professor of Imperial College London (UK) and visiting professor of MIT (US).