As artificial intelligence evolves from predictive tools to autonomous agents capable of decision-making and action, organisations face a fundamental governance challenge: how to operationalise trust in a fragmented and rapidly evolving regulatory landscape.
Drawing on recent comparative research across Europe and Asia, this session examines how different jurisdictions are approaching AI regulation—from prescriptive, rights-based models to more flexible, innovation-led frameworks. It argues that the future of AI governance in Asia lies not in uniform laws, but in interoperable guardrails that enable trusted cross-border deployment.
The session will move beyond high-level principles to practical implementation. Using real-world insights from the financial services sector, participants will explore how organisations can translate regulatory expectations into governance operating models—covering risk tiering, accountability structures, documentation, and auditability.
A key focus will be the rise of agentic AI, where systems can act autonomously and interact with external systems. Building on recent Singapore policy developments, the discussion will examine how organisations can embed identity, delegated authority, operational limits and redress into system architecture—ensuring that accountability is designed in from the outset, rather than reconstructed after harm.
Participants will leave with a clear, practitioner-oriented framework for governing AI systems and agents in a way that is scalable, defensible and aligned with emerging global expectations.
This session is part of the SMU Law Academy “Recent Highlights” series. Designed with the busy practitioner in mind, this series provides participants with a convenient platform to obtain timely and practical bite-sized analysis of the latest developments in various areas of the law. The series will be taught by leading and experienced experts curated from academia and practice. Each topic in the series is distilled into a short-duration online webinar so that busy legal professionals can be effectively updated with the most material developments affecting their practice.
SPEAKER
Lanx is the Global Head of Privacy and AI Privacy at Prudential, with a career spanning regulatory, corporate, academic, and diplomatic domains. He was awarded the IAPP Vanguard Award (Asia) and named one of the Top 10 Guardians of Cyberspace by The Cyber Express. He contributed to award-winning initiatives, including the MAS AI Executive Handbook (Pro-Enterprise Impact & Partnership Award 2025) and Prudential’s Global Innovation Awards 2024.
As an Adjunct Lecturer at SMU Yong Pung How School of Law, Lanx co-developed and teaches Privacy and Data Protection Law courses with an AI regulation component. He serves on multiple boards, including the Digital Advisory Board, Cyber Express Advisory Board, 20Minds Editorial Board, and the Singapore CEEC.
A Fellow of Information Privacy (FIP), he previously served on IAPP’s Asia Advisory Board and CIPP/A Exam Development Board. Lanx has contributed to key legislative and policy initiatives in Singapore and the region, and authored publications on privacy, AI, and cybersecurity.
FEES
| a. | Registration Fee
Registration fee of S$163.50* (inclusive of GST) applies |
| b. | Group Registration
Registration fee of S$147.15* (inclusive of GST) applies |
| c. | SMU Alumni (LLB / JD / LLM graduates)
Registration fee of S$147.15* (inclusive of GST) applies |
| | *Please note that there will be no refund of any fees should the participant cancel the registration/ fail to attend the event. However, registration is transferable. Notice of any change in participant should be sent to the Academy via email by 9 September 2026. SMU Law Academy reserves the right to cancel or postpone any event. In such case, we will arrange for the refund of fees paid. |
