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Singapore’s AI playbook puts public services and inclusion ahead of bigger models
At Digital@UNGA, Josephine Teo said Singapore uses AI for tasks from spotting cargo anomalies to routing residents’ feedback. Singapore’s approach also emphasizes AI suited to local languages and cultures, and helping more countries adapt AI rather than expecting each to build frontier models.
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Key takeaways
- At Digital@UNGA, Josephine Teo said Singapore uses AI for tasks from spotting cargo anomalies to routing residents’ feedback.
- Singapore’s approach also emphasizes AI suited to local languages and cultures, and helping more countries adapt AI rather than expecting each to build frontier models.
- Teo’s measure of progress: whether AI empowers more people—not simply whether models become more powerful.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What did Singapore’s Minister for Digital Development and Information Josephine Teo tell a United Nations General Assembly platform about Si. Article summary: At Digital@UNGA on 21 September 2026, Josephine Teo presented Singapore’s approach as using AI for practical public benefit, keeping humans accountable, and ensuring that more countries and communities can participate—no. Topic tags: general, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clic
Singapore’s AI strategy, as presented by Minister for Digital Development and Information Josephine Teo at Digital@UNGA on 21 September 2026, focuses on practical public-service uses, human accountability and broader participation. She cited examples ranging from cargo screening to residents’ feedback—and argued that AI should work for different countries and communities, not only those building the largest models. 3
Where Singapore says AI is helping government
Teo described machine learning that routes residents’ reports—such as a broken swing or faulty streetlamp—to the relevant agency. At the border, AI helps identify anomalies in millions of cargo shipments; for scam prevention, it helps detect signs of phishing and impersonation. 3
She also said nearly 70% of public officers use AI to analyse information and prepare drafts. Their use of AI does not transfer responsibility for decisions: officers remain accountable for the final work. 3
These examples frame AI as a tool for everyday government functions, rather than a technology whose value is measured only by model size or technical capability.
Why local languages and context matter
Teo pointed to a limitation in applying AI across Southeast Asia: models may not understand local languages, accents and cultures well. Singapore’s open SEA-LION model is intended to better reflect the region’s linguistic and cultural context, including multilingual speech and code-switching. 3
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She also highlighted Project ATLAS, an effort to develop AI-ready datasets for underrepresented languages with the Gates Foundation, Google and the United Nations Development Programme. The aim is to address gaps in the data available for building and adapting AI systems. 3
Not every country needs to build a frontier model
Teo’s broader argument was that countries should be supported in adapting AI to their own languages, cultures and needs. In her view, expanding access does not require every country to build its own frontier model; adapting technology to local contexts can also help more people benefit. 3
Singapore’s regional cooperation includes sharing digital experience through the Forum of Small States’ Digital Pillar, a community of 108 small countries. 11
Three priorities for AI that benefits more people
Teo’s remarks point to three priorities: use AI for practical impact, build public trust so its use can be sustained, and broaden participation. The measure of success, she argued, should be how many people AI empowers—not simply how powerful machines become. 3
The examples and figures above reflect Singapore’s account in Teo’s remarks; they describe the government’s approach, rather than an independent assessment of each initiative’s results.
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What is the short answer to "Singapore’s AI playbook puts public services and inclusion ahead of bigger models"?
At Digital@UNGA, Josephine Teo said Singapore uses AI for tasks from spotting cargo anomalies to routing residents’ feedback.
What are the key points to validate first?
At Digital@UNGA, Josephine Teo said Singapore uses AI for tasks from spotting cargo anomalies to routing residents’ feedback. Singapore’s approach also emphasizes AI suited to local languages and cultures, and helping more countries adapt AI rather than expecting each to build frontier models.
What should I do next in practice?
Teo’s measure of progress: whether AI empowers more people—not simply whether models become more powerful.