AI Guide For Boards in Singapore

Section VI: Operationalisation Chapter 12: Strategic Roadmap for Boards 12.1 Operationalising AI

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12.2 Board Stewardship

Acknowledgement

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Appendices 1.A e AI Lexicon 1.B e Dual Lens of Governance: Conformance and Performance 1.C AI-Enabled Productivity 1.D Scaling Expertise and Customer Value 1.E Stewardship of People Resources 2.A Incremental Productivity vs Transformational Change 3.A Board Oversight of AI

3.B Board vs Management Responsibilities 3.C Board AI Competency Framework 3.D Strengthening Board Capability for AI 3.E Key Functions of an AI-Ready Board 4.A A Value Pool Approach

4.B Core Pillars of AI Investment 4.C e AI Integration Iceberg

5.A Stages of Maturity in the AI Lifecycle 5.B AI Performance Metrics: Examples 6.A Singapore as a Trusted AI Hub 6.B Singapore’s Approach to AI Governance 6.C Monetary Authority of Singapore: FEAT Principles 6.D AI Verify Testing Framework 6.E AI-Related Regulations, Frameworks and Tools: Examples 7.D Key Risk Indicators: Examples 7.E Specialised Board Committees 7.F Tiered Risk Hierarchy: Example 7.G Reporting on AI Performance and Value 7.H Board Checklist for AI Governance 8.A Stakeholder Trust Expectations 8.B Four Core Principles in Building a Responsible AI Culture 8.C AI-Specic Due Diligence 8.D Emerging AI Risks 8.E Board Checklist for Stakeholders 7.A A Risk-Tiered Approach 7.B Illustrative Risk Scenarios 7.C Board Oversight Process

9.A Digital Readiness Checklist 10.A Oversight of AI Infrastructure 10.B Secure AI Deployment 11.A e Build-Buy-Partner Framework 11.B Data Sensitivity Classication: Examples

11.C Model Lifecycle Governance 11.D Monitoring for Assurance 11.E AI-Related IP Risk Landscape 12.A Seven-Step Strategic Roadmap

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