AI GUIDE FOR BOARDS IN SINGAPORE
Section I: The Board Mandate
Board Oversight of AI
STRATEGY & VALUE CREATION
GOVERNANCE & GUARDRAILS
OVERSIGHT & ACCOUNTABILITY
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Holding management accountable
Setting direction
Setting guardrails
Ensure AI investments support corporate strategy Prioritise strategic AI initiatives Focus on sustainable business value and competitive advantage
Challenge and scrutinise major AI investments Monitor delivery against milestones and timelines Oversee third-party and vendor dependencies Hold management accountable for value realised and ROI
Approve AI governance frameworks and policies
Ensure ethics and responsible AI
Oversee data privacy and protection
Ensure compliance with laws and regulations
3.1.2 Management responsibilities
Management is responsible for the implementation, operation, and day-to- day management of AI systems, including controls, processes and risk mitigation. Boards are responsible for governing the organisational consequences of AI adoption, not managing the underlying technology.
Board vs Management Responsibilities for AI governance are distinct but complementary.
Boards are responsible for oversight, ensuring that appropriate governance structures, accountability mechanisms, risk management frameworks and organisational capabilities are in place to support responsible and eective AI adoption.
Board vs Management Responsibilities
Board responsibilities
Management responsibilities
Set strategic direction for AI adoption
Execute AI strategy and implementation
De ne risk appetite and governance expectations
Manage day-to-day AI operations and deployment
Oversee ethics, resilience, and accountability
Develop technical solutions and operational controls
Monitor enterprise risk exposure
Maintain systems, data pipelines, and workows
Deliver business outcomes and operational assurance
Challenge and guide management
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