Navigating AI Risk Management Guidelines (AIRG) and the New Risk Landscape for Insurers

As artificial intelligence (AI) rapidly transforms the insurance landscape, regulators are evolving their expectations to ensure responsible and accountable AI adoption. This complimentary one-hour webinar provides a concise and practical overview of Singapore’s regulatory journey—from the FEAT principles to the Monetary Authority of Singapore’s (MAS) recently released consultation paper on the proposed Guidelines on Artificial Intelligence Risk Management (AIRG).

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Participants will gain insights into the global AI governance landscape and understand how regulatory approaches are converging across jurisdictions. The session will also explore why traditional risk management frameworks are increasingly challenged by emerging technologies such as generative AI and autonomous agents, and what this means for insurers.

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Through practical perspectives and industry-relevant examples, the webinar will highlight key considerations for managing AI risks in underwriting, claims, and customer-facing applications. Participants will leave with a clearer understanding of regulatory expectations and how insurers can begin strengthening their AI governance and risk management practices.

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Target Audience

• Insurance professionals in underwriting, claims, and product development
• Risk, compliance, and governance professionals within insurers and reinsurers
• Senior management and decision-makers overseeing digital transformation or AI initiatives
• Professionals seeking to understand the proposed MAS Guidelines on Artificial Intelligence Risk Management (AIRG)
• Non-technical stakeholders interested in AI risks and regulatory developments

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Webinar Topics

• Singapore’s Regulatory Journey: From FEAT to AIRG
  
  • Evolution of AI governance in Singapore
  • Key principles and regulatory expectations under AIRG
• The Global AI Governance Landscape
  
  • Overview of international frameworks and trends
  • Increasing regulatory focus on AI risk and accountability
• Why Traditional Risk Management Falls Short
  
  • Limitations of existing frameworks
  • New challenges posed by generative AI and agentic systems
• Implications for Insurers
  
  • AI use cases in insurance and associated risks
  • Governance considerations for underwriting, claims, and customer engagement

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Speaker

Mr. Gary Ang led AI risk supervision at the Monetary Authority of Singapore (MAS), where he was responsible for developing Singapore's first AI risk management guidelines for the financial sector. He was previously division head for investment risk management, overseeing risk management of Singapore's foreign reserves, and also has deep expertise in Basel capital rules, banking and capital market policies, and model risk supervision.

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Gary holds a PhD in Computer Science. His research focused on deep learning for networks, time series, and multimodal data, and he has published at leading venues including ACL and ACM conferences. He also holds Masters degrees in Financial Engineering and Knowledge Engineering from NUS, as well as an Electrical Engineering degree from the University of Toronto.

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📅 8 July 2026  |  3.00 p.m. to 4.00 p.m. (Singapore Time)

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If you have any questions, please feel free to contact us at tt@scidomain.org.sg

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