National AI Strategy 2.0
Singapore's second National AI Strategy (NAIS 2.0), published in December 2023, outlines a comprehensive framework to harness artificial intelligence for the public good, both domestically and globally. The strategy shifts focus from individual projects to a systemic approach across three core areas: Activity Drivers (industry, government, and research), People & Communities (talent, capabilities, and placemaking), and Infrastructure & Environment (compute, data, trusted environment, and international leadership). Through 15 specific actions, the strategy aims to build peaks of excellence, expand the AI workforce, secure high-performance compute, and maintain pro-innovation governance guardrails.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This strategy is for policymakers, business leaders, researchers, AI developers, and workers looking to understand and participate in Singapore's national AI ecosystem development.
What the document contains
The document addresses Singapore's comprehensive national strategy for artificial intelligence across three main systems containing ten enablers and fifteen specific actions. It covers industry adoption, government use, research priorities, talent attraction, workforce upskilling, physical community placemaking, compute resources, data governance, trust and safety regulations, and international leadership.
The text does not contain legally binding regulatory mandates, legislative statutes, judicial rulings, or prescriptive technical compliance standards.
- Singapore's second National AI Strategy (NAIS 2.0) envisions achieving AI for the Public Good for Singapore and the world.
- The strategy shifts from a project-based approach to a systemic approach across activity drivers, people and communities, and infrastructure and environment.
- Singapore aims to boost its pool of AI practitioners to 15,000 and attract world-class AI creators.
- The government will secure access to high-performance compute and unlock public sector data for high-priority public good use cases.
- Singapore maintains a pro-innovation regulatory environment, updating frameworks like the Model AI Governance Framework and AI Verify.
· Foreword · Introduction · National AI Strategy 2.0: Our Vision and Goals · System 1: Activity Drivers (Industry, Government, Research) · System 2: People & Communities (Talent, Capabilities, Placemaking) · System 3: Infrastructure & Environment (Compute, Data, Trusted Environment, Leader in Thought and Action) · A Whole-of-Nation Movement
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
As part of this, it will be important to establish clear responsibilities for actors across the AI supply chain.
Action 13
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
This requires paying close attention to the model development process, to ensure that the output of models is not biased, inaccurate, or erroneous.
Trusted Environment
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
National AI Strategy 2.0
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
Importantly, given increased concerns around data security, we should invest in Privacy-Enhancing Technologies (PETs), and other novel approaches that can address barriers around data protection and sharing
Enabler 8 Data
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
AI Verify is an AI governance testing framework and software toolkit developed by IMDA. The testing framework consists of 11 AI ethics principles
Action 13
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
National AI Strategy 2.0
screening score · 2026-10-23