AI Governance Research Symposium (By Invitation Only)
5 June 2023 | 9.00am - 12.30pm
The Gallery | Capella Singapore
Join us at the inaugural AI Governance Research Symposium, organised by AI Singapore’s AI Governance pillar. This ground-breaking event brings together leading experts and researchers to explore the forefront of AI governance, focusing on the critical questions surrounding human-machine interactions.
Delve into thought-provoking discussions, innovative research, and emerging insights that address the intricate challenges in governing AI technologies. With a special panel dedicated to the unique complexities of medical technology, gain a deep understanding of the ethical and regulatory aspects shaping the future of healthcare. Don't miss this opportunity to engage with thought leaders and shape the path toward responsible AI innovation.
Meet Our Speakers
9.00am - 9.15am: Welcome Address
9.15am - 10.45am: Governing AI – Managing the Human-machine Dynamic
What circumstances or factors will encourage the responsible utilisation of AI? What guardrails or rules (targeting humans as well as machines) will discourage irresponsible uses or applications of AI?
- Galit Shmueli, Tsing Hua Distinguished Professor, Institute of Service Science, College of Technology Management, National Tsing Hua University, Taiwan
- Araz Taeihagh, Assistant Professor of Public Policy, Lee Kuan Yew School of Public Policy, National University of Singapore
- Professor Yi Zeng, Director, Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
- Simon Chesterman, Senior Director (AI Governance), AI Singapore and Vice Provost (Educational Innovation), National University of Singapore
11.00am - 12.30pm: Governing MedTech – AI and Healthcare
How can we manage the ethical and social implications of AI in healthcare? In addition to data protection and consent, what potential issues arise, and what solutions are available — these may include bias and discrimination, patient autonomy, the doctor-patient-healthcare provider relationship, and transparency/ explainability?
- Ritu Agarwal, Carey Distinguished Professor of Information Systems and Health, Johns Hopkins Carey Business School and Founder and Director, Center for Digital Health and Artificial Intelligence (CDHAI)
- Ngiam Kee Yuan, Head, Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore
- Julian Savulescu, Chen Su Lan Centennial Professor in Medical Ethics, Director of the Centre for Biomedical Ethics, National University of Singapore
- Joseph Sung, Senior Vice President (Health & Life Sciences), Dean, Lee Kong Chian School of Medicine, Distinguished University Professor, Nanyang Technological University
- Jungpil Hahn, Deputy Director (AI Governance), AI Singapore and Professor of Information Systems and Analytics, National University of Singapore