Speakers
KEYNOTE SPEAKERS
Dr Tom Coughlin
2024 IEEE President & CEO
Dr Bryan Low
Associate Professor
Director of AI Research, AI Singapore
Deputy Director, NUS AI Institute
Dr Jonathan Pan
Chief, Disruptive Technologies Office, and Director, xCybersecurity, Enterprise Group, Home Team Science and Technology Agency (HTX), Singapore
Dr Tom Coughlin
2024 IEEE President & CEO
Synopsis: Prioritizing Societal and Ethical Concerns with Responsible AI
Members of IEEE have been involved in the development of artificial intelligence since its inception. Since 2015, there has been a great effort to develop ethical guidelines for AI in the IEEE, leading to a series of documents on Ethically Aligned Design for Intelligent and Autonomous Systems, including an analysis of ethically aligned design for business and education.
In addition to these analysis and policy documents, IEEE’s Standards Association has created a series of standards for the ethical use of AI, the 7000 standard series. These standards have influenced international AI and ethics public policy, including a Digital Services Framework Based on the Rights Principles for Children.
In this talk, President Coughlin will look at IEEE’s efforts to promote and define ethical design with AI and its applications in advancing technology for the benefit of humanity.
Biography:
2024 IEEE President & CEO
Tom Coughlin, President, Coughlin Associates is a digital storage analyst and business and technology consultant. He has more than 40 years in the data storage industry with engineering and senior management positions at several companies.
An IEEE Life Fellow, Dr. Coughlin has many publications and six patents. Heis also the author of Digital Storage in Consumer Electronics: The Essential Guide, which is now in its second edition with Springer. Tom is a regular storage and memory contributor for forbes.com and media and entertainment organizations. Coughlin Associates consults and publishes books and market and technology reports, including The Media and Entertainment Storage Report and an Emerging Memory Report, and puts on digital storage-oriented events.
Tom has served in numerous IEEE volunteer leadership roles, including President of IEEE-USA, Director of IEEE Region 6, Vice President and Board member of the IEEE Consumer Technology Society, Chair of the Santa Clara
Valley IEEE Section, and Chair of the Consultants Network of Silicon Valley. He is also active with the Storage Networking Industry Association (SNIA) and the Society of Motion Pictures and Television Engineers (SMPTE).
Dr Bryan Low
Associate Professor
Director of AI Research, AI Singapore
Deputy Director, NUS AI Institute
Synopsis: Data-Centric AI in the Age of LLMs
In this talk, I will propose a data-centric viewpoint of AI research, focusing on large language models (LLMs). We start by making the key observation that data is instrumental in the developmental (e.g., pretraining and fine-tuning) and inferential stages (e.g., in-context learning) of LLMs, and yet it receives disproportionally low attention from the research community.
I will then discuss three data-centric AI works from our GLOW.AI group, specifically on data selection, data attribution and machine unlearning, and finally, automated prompting/prompt optimization during in-context learning.
Biography:
Dr. Bryan Low is an Associate Professor of Computer Science at the National University of Singapore, the Director of AI Research at AI Singapore, and the Deputy Director of NUS AI Institute. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2009. His research interests include data-centric AI, resource-efficient AI, probabilistic & automated machine learning, collaborative machine learning, planning under uncertainty, and multi-agent/robot systems.
Dr. Low is the recipient of the (1) Andrew P. Sage Best Transactions Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics – Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D. studies in Carnegie Mellon University (CMU) in 2004-2009; (3) Singapore Computer Society Prize for Best M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (4) Faculty Teaching Excellence Award in School of Computing, National University of Singapore in 2017-2018.
Dr. Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems in Mar 2019. He has served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems in Jun 2016, the AI Summer Schools in Jul 2019 and Aug 2020, and the NeurIPS 2021 Workshop on New Frontiers in Federated Learning. Dr. Low has also served as associate editors, area chairs and program committee members, and reviewers for premier AI (specifically, multiagent systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS, IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS, T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019, top 33% reviewer for ICML 2020, expert reviewer for ICML 2021, top 25% PC member for AAAI 2021, outstanding SPC member for AAMAS 2023, and distinguished PC member for IJCAI 2023.
Dr Jonathan Pan
Chief, Disruptive Technologies Office, and Director, xCybersecurity, Enterprise Group, Home Team Science and Technology Agency (HTX), Singapore
Biography:
Jonathan Pan leads the Disruptive Technologies Office of the Home Team Science and Technology Agency (HTX), Singapore. This office explores the frontiers of Science and Technologies, like Artificial Intelligence and Quantum, for homeland security application through their applied Research and Development endeavors. He also concurrently leads the cybersecurity team in HTX. Jonathan conducts his own research in Artificial Intelligence & Cyber Security. He is also an Adjunct Associate Professor with Nanyang Technological University Singapore where he teaches Cyber Security and Artificial Intelligence courses.