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Prof. Heng Wang
Professor
Singapore Management University
View LinkedIn profileHeng Wang is a Professor of Law at the Yong Pung How School of Law, Singapore Management University. Prior to these appointments, he was a professor and founding co-director of two major centres at the University of New South Wales, Sydney. Heng is a recipient of major grants and awards and has been named as a top researcher in international law by The Australian newspaper. His work has been cited in intergovernmental organisation documents. Heng has advised or been a keynote speaker at events organised by many reputable organisations and institutions (e.g. ADB, APEC and Korean Foreign Ministry, Bundesbank, CPMI/BIS, HCCH, ICC, ICSID, IMF, INTERPOL, MAS, NAB, UNDP, UNICTRAL, World Bank, WTO), and the private sector. As a member, he contributes to the World Economic Forum’s (WEF) AI Governance Alliance and the WEF Future of Blockchain and Digital Assets Initiative. His current research focuses on the governance of digitalisation and sustainability, as well as the future of international economic relationships.
Speaking At
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9:45–11:15amMon 16 NovPublic-Private RoundtableRoundtable Room 2Invite-OnlyModerator
Accountability & Liability In Agentic Systems
Build, Buy, or Own: Strategies for Responsible AI Adoption in Finance
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Amith RajanExecutive Vice President, Head of Wholesale Digital Banking, Mashreq & Chief Executive Officer, NeoVenturesMashreq NeoVentures
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Louise JohnstonDigital Assets & Blockchain, Global PolicyMastercard
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Dr. Zhao JingyuanHead, Group Data OfficeOCBC
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Prof. Heng WangProfessorSingapore Management UniversityModerator
About this session
Financial institutions are moving well beyond experimentation with AI, deploying it across credit decisioning, fraud detection, and everyday employee workflows at genuine scale. But how they get there differs sharply: some are building their own foundation models on proprietary data to avoid depending on external providers with their most sensitive information; others adopt commercial AI tools but wrap them in anonymization and strict governance before sensitive data reaches them; and some capital allocators are treating AI infrastructure itself — compute, data centres, foundation models — as a strategic asset worth direct ownership.
Regulation is catching up fast and unevenly, with major regimes now treating data location and third-party AI access as a risk to be supervised, not just a technology choice. Given the different AI strategies already in motion, what would it actually take to make them interoperable, auditable, and defensible across jurisdictions?
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