AI GUIDE FOR BOARDS IN SINGAPORE
Section III: Governance and Oversight
Singapore’s AI ambitions are underpinned by signi cant national investment, including a S$1 billion National AI Research and Development Plan for 2025-2030, aimed at strengthening Singapore’s research ecosystem and long-term competitiveness, as a leader in the global digital economy. Singapore as a Trusted AI Hub
1. National AI leadership and governance To steer this ambitious agenda, Prime Minister Lawrence Wong chairs the National AI Council to provide strategic direction and drive Singapore's AI agenda. e objective is to ensure that AI development remains aligned with national economic priorities, security considerations and ethical standards. 2. Strategic AI missions Under the National AI Strategy 2.0, Singapore has identi ed four priority sectors (“National AI Missions”) for large-scale AI deployment: • Advanced manufacturing: Deploying AI and robotics to strengthen industrial productivity and competitiveness. • Connectivity and logistics: Enhancing supply chain optimisation and infrastructure resilience. • Finance: Advancing trusted AI deployment guided by the Monetary Authority of Singapore’s (MAS) Fairness, Ethics, Accountability and Transparency (FEAT) principles. • Healthcare: Strengthening clinical safety, diagnostics and patient outcomes through AI-enabled systems. 3. Culturally-contextual testing capabilities Singapore is developing indigenous AI capabilities tailored to regional and cultural contexts, including:
• SEA-LION (Southeast Asian Languages in One Network): Open- source large language models designed for Southeast Asian languages and contexts. • MERaLiON (Multimodal Empathetic Reasoning and Learning in One Network): A multimodal model incorporating contextual and empathetic reasoning capabilities. • Project Moonshot: One of the world’s rst open-source toolkits for evaluating and red-teaming AI models to assess safety and reliability before deployment.
4. Enterprise and workforce empowerment
Singapore’s AI strategy places strong emphasis on workforce transformation and AI adoption through a human- centric journey. Initiatives include: • Champions of AI: Supporting Singapore-based rms in adopting AI as a core driver of their business model and revenue growth. • National AI Impact: Facilitating 10,000 enterprises and training 100,000 “AI bilingual” professionals to help bridge the gap between technical AI capabilities and domain-speci c workows (e.g., in business, legal and accountancy). • Ecosystem building: Building collaborative ecosystems such as Kampong AI at One-North to bring together startups, researchers and tech rms in innovation clusters.
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