Purpose of Programme
As artificial intelligence becomes increasingly embedded across underwriting, claims, pricing, and customer engagement, insurers face growing expectations to manage associated risks responsibly. This one-day
workshop provides a practical and accessible understanding of AI governance and risk management, anchored in the Monetary Authority of Singapore’s proposed AI Risk Management Guidelines (AIRG).
Participants will start with a non-technical primer on AI—from machine learning to emerging agentic systems—before exploring key risk areas, including operational, ethical, regulatory, and reputational risks.
Through interactive case vignettes, they will apply risk identification concepts to real-world insurance scenarios.
The programme also examines Singapore’s approach within the global AI governance landscape, highlighting key regulatory trends. In addition, the programme focuses on implementation, covering governance
frameworks, materiality assessments, alignment with ISO 42001, and controls across the AI lifecycle.
By the end of the workshop, participants will gain practical insights and a clear roadmap to operationalise AI governance within their organisations.
workshop provides a practical and accessible understanding of AI governance and risk management, anchored in the Monetary Authority of Singapore’s proposed AI Risk Management Guidelines (AIRG).
Participants will start with a non-technical primer on AI—from machine learning to emerging agentic systems—before exploring key risk areas, including operational, ethical, regulatory, and reputational risks.
Through interactive case vignettes, they will apply risk identification concepts to real-world insurance scenarios.
The programme also examines Singapore’s approach within the global AI governance landscape, highlighting key regulatory trends. In addition, the programme focuses on implementation, covering governance
frameworks, materiality assessments, alignment with ISO 42001, and controls across the AI lifecycle.
By the end of the workshop, participants will gain practical insights and a clear roadmap to operationalise AI governance within their organisations.
What You'll Learn
By the end of this programme, participants will be able to:
• Understand key AI concepts, including machine learning and emerging agentic AI systems
• Identify and assess key risks associated with AI adoption in insurance
• Interpret MAS' proposed AI Risk Management Guidelines (AIRG) and their relevance to insurers
• Compare global AI governance frameworks and regulatory developments
• Apply structured approaches to AI risk assessment using practical scenarios
• Design and implement AI governance frameworks within their organisations
• Conduct materiality assessments, and understand standards such as ISO 42001
• Establish appropriate controls across the AI lifecycle, from development to deployment and monitoring
• Understand key AI concepts, including machine learning and emerging agentic AI systems
• Identify and assess key risks associated with AI adoption in insurance
• Interpret MAS' proposed AI Risk Management Guidelines (AIRG) and their relevance to insurers
• Compare global AI governance frameworks and regulatory developments
• Apply structured approaches to AI risk assessment using practical scenarios
• Design and implement AI governance frameworks within their organisations
• Conduct materiality assessments, and understand standards such as ISO 42001
• Establish appropriate controls across the AI lifecycle, from development to deployment and monitoring
COURSE FEE
$500.00
(Before Subsidy)
SCHEME
FTS
Skills & Competencies Requirements
| SKILLS CATEGORY | SKILLS AND COMPETENCIES | PROFICIENCY LEVEL |
|---|---|---|
| Future-Enabled Skills | Generative Artificial Intelligence |
ADVISORY
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