AI GUIDE FOR BOARDS IN SINGAPORE Executive Summary
Executive Summary
e AI Guide for Boards in Singapore is tailored specically for board directors in Singapore. Published by the Singapore Institute of Directors (SID), the guide provides an operational and strategic blueprint to lead organisations and management teams in successfully leveraging articial intelligence (AI).
Key highlights
e guide is systematically divided into ve foundational pillars, culminating in a Seven- Step Strategic Roadmap . • e board mandate (Section I): Sets the tone at the top, charting the evolution of AI into generative and agentic systems. It highlights the shi from hype to disciplined return on investment, focused on measurable business outcomes through practical implementation. • Strategy and value creation (Section II): Outlines how boards must challenge management to pursue both “best- in-class” (incremental productivity) and “only-in-class” (transformational business models) strategies while securing proprietary data moats. • Governance and oversight (Section III): Proposes potential board-level oversight through clear policies (dening intent, rules and processes) and comprehensive risk classication inventories. • Ethics and trust (Section IV): Focuses on mitigating algorithmic bias, hallucinations and expanding cyber-attack surfaces. It advocates a proportionate governance approach tiered by AI impact (productivity, internal processes, or customer-facing).
Key objectives
e primary objective of this guide is to elevate the duciary literacy of board members, shiing AI oversight from a passive tech-committee topic to a core boardroom mandate. It aims to bridge the AI knowledge asymmetry between boards and management, transforming directors into active stewards capable of balancing conformance (risk management) with performance (strategic growth). is guide aims to provide practical and localised frameworks and considerations. It directly aligns corporate governance with Singapore’s National AI Strategy 2.0 (NAIS 2.0), positioning local enterprises to leverage national initiatives like the IMDA Model AI Governance Frameworks. By oering actionable frameworks, the guide helps organisations escape “pilot purgatory” and build scalable AI platforms that protect (and grow) enterprise value and cultivate stakeholder trust.
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