MDDI 演講稿 · 2026-05-20
楊莉明部長在 ATxSummit 2026 上的開幕主題演講
要點
- • 新加坡建立了七十個AI卓越中心。
- • 國家AI影響專案旨在幫助一萬家中小企業有意義地使用AI。
- • 連通性、先進製造、醫療健康和金融四個部門被列為國家AI任務的優先領域，合計佔新加坡國內生產總值的40%以上。
- • 樟宜機場第5航站樓將使該機場的年度客運處理能力增加約5000萬人次。
- • 新加坡的工業機器人密度是全球平均水平的約五倍，始終排名全球最高水平。
- • 由總理主持的國家AI委員會已成立，旨在監督國家AI任務以擴大AI在經濟中的採納。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-21
尊敬的諸位，
尊敬的同事和朋友們，
各位早上好，感謝各位的蒞臨。
三年前，在這個舞臺上，我談到了我們「人工智慧造福公眾、造福新加坡、造福世界」的願景。
那年晚些時候，總理勞倫斯·黃宣佈啟動《國家人工智慧戰略》(NAIS) 2.0，該戰略概述了充滿活力的人工智慧生態系統的10個關鍵促成要素。
快進到2026年5月，全球人工智慧發展步伐加快。
在新加坡，已經建立了70個人工智慧卓越中心；
我們開發了反映區域特點的開源模型SEA-LION和MERaLiON；
我們的「科學人工智慧」專案正在應對疫苗開發等緊迫挑戰。
今年早些時候，我們成立了由總理本人擔任主席的國家人工智慧委員會。
該委員會將專注於國家人工智慧任務，以擴大在我們經濟中的採用範圍，建立深厚的人工智慧能力，並使新加坡成為人工智慧創新的領先樞紐。
為了更好地支援委員會的工作，我們正在更新我們的戰略和優先事項。
這個更新基於我們在實施NAIS 2.0過程中的經驗和洞察。
這是一次「深化」而非系統重啟。
我們正在細化如何在人工智慧生態系統的各個組成部分中突破界限。
以產業為例，小規模專案的生產力影響只是開始。
國家人工智慧影響計劃旨在擴大企業使用者的基礎。具體來說，我們將幫助10,000家中小企業有意義地使用人工智慧。
人工智慧冠軍計劃將為準備進行更大規模企業級影響的使用者提供有針對性的支援。
通過我們的國家人工智慧任務設定了一個更高的雄心水平，這些任務旨在改變整個行業。
四個部門被列為優先——資訊通訊、先進製造、醫療保健和金融。
新加坡在這些部門中都享有全球地位。總體而言，它們佔我們GDP的40%以上。
它們也是政府賦能工具（如資料獲取和監管沙盒）能夠催化人工智慧突破的領域。
國家人工智慧任務將由值得解決的問題陳述推動，不僅對新加坡，對世界也是如此。
它們旨在成為其各自部門中深入、革命性人工智慧採用的「灘頭陣地」。
工作已經開始。
在航空領域，我們的樟宜航空樞紐與170個其他城市保持連線，是世界上第四繁忙的國際機場。
市民和遊客都享受樟宜的無縫且精心設計的體驗。
在未來十年內，新的T5航站樓每年將使樟宜機場的客運處理能力增加約5千萬名乘客。
除了建設世界一流的基礎設施，我們必須重新思考我們的航空樞紐如何運營。
乘客如何從一個登機口移動到另一個登機口？行李如何在多個航站樓之間運輸？飛機著陸和起飛如何在我們的跑道上排序？
這些確實是需要硬體和軟體創新的真正難題。
僅有一個新航站樓是不夠的。要使我們提供的航班數量翻倍，存在多個制約因素。
在其他挑戰中，我們需要一個優先考慮安全和容量的下一代空中交通管理系統。
這只是 AI 可以幫助的航空業眾多令人興奮的機遇之一。
我們在大士港的海事樞紐是另一個很好的例子。它是位於世界最繁忙水道之一的全球最大自動化集裝箱碼頭。
存在豐富的複雜運營資料集，可用於開發令人興奮的新解決方案。
明天，我的同事運輸部長 Jeffrey Siow 先生將與各位分享他的更多願景。
我們的連線挑戰清楚地表明瞭新加坡如何可以成為世界的生活實驗室。
同樣，在先進製造業中，影響的範圍和規模是顯著的。
物理和具身 AI 的發展與我們的製造公司高度相關。
他們已在效率的最前沿運營，以在激烈競爭中蓬勃發展。
新加坡的工業機器人密度約為全球平均水平的 5 倍，始終位居世界最高之列。
物理 AI 可以幫助進行流程重設計的模擬。
更好的數字孿生可以改進預測性維護，減少材料浪費和生產停機時間。
但這並不那麼簡單。在研究實驗室開發的想法在真實工廠環境中並不總是表現得很好。
要看到真實影響，我們需要來自硬體、軟體和運營領域的合作者。
這就是為什麼我們歡迎輝達在新加坡的新研究實驗室，專注於具身 AI 和高效 AI。
該實驗室將與我們的大學、行業合作伙伴和政府機構攜手合作。
它加強了輝達在新加坡的現有基礎，深化了我們的 AI 人才生態系統，並開啟了創新的新來源。
我們也在開發勿洛數字區作為前沿試驗床。多年前，像我一樣不太年輕的新加坡人會記得勿洛曾是一個寧靜的村莊。
但在今天的勿洛，我們將建立一個綜合資料平臺，設計真實的測試場景，以及使機器人能夠在整個地區安全運營的規則。
機器人可以幫助我們的工作人員加強對目前服務不足的地區的服務供應。
越來越多的行業合作伙伴網路正在使用勿洛的生態系統進行測試和實驗。
這些沙箱和合作有助於傳播接受度和採用。
單獨來看，新加坡的國內市場可能不值得這麼多關注。
使我們引人注目的是我們所連線的全球網路以及我們對可信技術採用的良好記錄。
像輝達這樣的領先公司選擇在這裡加深他們的存在，因為我們為他們的全球足跡增加了有價值的東西。
我們期待有更多的人加入他們。
你會注意到我今天分享內容中的一個模式。勿洛的試驗床。我們對樟宜 T5 的野心。等等。
在所有這些努力中，新加坡實體將不是被動的觀察者，等待解決方案被放在眼前。
我們將積極參與，與夥伴一起解決痛點，強化我們的生態系統，為商業和工業創造新價值。
這些夥伴關係是啟用我們國家人工智慧使命的兩個關鍵推動力之一。
另一個是治理——我們認真對待這一點，因為我們在新加坡使用的東西必須值得信任。
儘管人工智慧發展飛速，但治理方法遠未確定。
但隨著人工智慧在影響人們生活的領域——醫療保健、金融、交通、公共服務——越來越深地融入，所涉及的風險在增大。
來自自主代理、網路安全威脅、對資訊的信任侵蝕的風險——它們不受國界限制。
人工智慧的好處也可能分佈不均。獲取機會減少和缺乏包容性將對新加坡這樣的小國造成不利。
國際公認的規則和標準將很重要。但它們的形成需要時間。
與此同時，我們已經開始傳播和塑造期望，監測它們如何塑造現實情況，並在實踐中進行調整。
一個例子是《代理人工智慧模型治理框架》，它由行業意見開發，並在一月份的世界經濟論壇上釋出。
雖然只過了幾個月，但我們今天正在更新該框架，包括來自普華永道和Workday等公司的真實代理人工智慧部署案例研究。
我們還發布了關於OpenClaw的案例研究，強調了使用者的最佳實踐。
在政府內部，我們對自己的代理使用應用相同的迭代過程，通過與谷歌等夥伴的沙盒進行實驗，並學習如何確保其安全。
同時，我們與全球人工智慧安全從業者社群緊密互動。
事實上，週一，一個由Yoshua Bengio教授、Stuart Russell、Dawn Song、Zhang Ya-Qin和Max Tegmark組成的傑出小組剛剛更新了《新加坡人工智慧安全研究優先事項共識》。
這些努力承認，在我們能夠確保安全設計原則之前，需要大量工作和國際合作，即人工智慧在重要領域被負責任地部署。
新加坡將其視為時間和資源的必要投資，我們將長期致力於此，以便人工智慧能夠被信任。
我概述的這些努力是人工智慧在我們的經濟和社會中主流化的一部分。
因此，新加坡的人工智慧中心日益充滿活力。
我們的國家人工智慧使命為領先的人工智慧公司在此紮根提供了強有力的理由，以開發、測試和擴充套件值得信任且具有全球相關性的人工智慧解決方案。
與此同時，在醫療保健和教育等領域，我們正在利用人工智慧造福公眾，並改善我們公民的福祉。
我們將在合適的平臺上更多地談論這些內容。
總之，我們希望您在ATx的時間能讓您更清楚地瞭解與新加坡攜手構建意味著什麼。
我邀請您加入我們，共同創造更大的積極影響。
我祝你們在ATx取得豐碩的成果。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-21
Excellencies,
Distinguished colleagues and friends,
A very good morning and thank you all for being here.
Three years ago, on this stage, I spoke about our vision of “AI for the Public Good, for Singapore and the World”.
Later that year, PM Lawrence Wong launched the National AI Strategy (NAIS) 2.0, which outlined 10 key enablers of a vibrant AI ecosystem.
Fast forward to May 2026, AI developments around the world have accelerated.
In Singapore, 70 AI Centres of Excellence have been set up;
We have built SEA-LION and MERaLiON, open-source models that reflect our regional context;
Our “AI for Science” programme is tackling pressing challenges like vaccine development.
Earlier this year, we set up the National AI Council, chaired by PM himself.
The Council will focus on National AI Missions, to broaden adoption across our economy, build deep AI capabilities, and make Singapore a leading hub for AI innovation.
To better support the work of the Council, we are updating our strategies and priorities.
This refresh builds on our experiences and insights implementing NAIS 2.0.
It is a “double-click” rather than a system reboot.
We are fleshing out how to push the boundaries in each component of our AI ecosystem.
In industry for example, the productivity impact of small-scale projects is just the beginning.
The National AI Impact Programme aims to broaden the base of enterprise users. Specifically, we will help 10,000 SMEs use AI meaningfully.
The Champions of AI programme will provide targeted support for those ready to make a bigger enterprise-wide impact.
An even higher level of ambition has been set through our National AI Missions, which aim to transform entire sectors.
Four sectors are being prioritised – Connectivity, Advanced Manufacturing, Healthcare and Finance.
Singapore has global standing in each of these sectors. Collectively, they make up over 40% of our GDP.
They are also areas where government enablers like data access and regulatory sandboxes can catalyse AI breakthroughs.
The National AI Missions will be driven by problem statements worth solving, not just for Singapore but for the world.
They aim to be “beachheads” for deep, game-changing AI adoption in their sectors.
Work has already begun.
In aviation, our air hub at Changi keeps us connected to 170 other cities and is the 4th busiest international airport in the world.
Citizens and visitors alike enjoy the seamless and thoughtfully designed Changi experience.
In the next decade, the new T5 will increase Changi Airport’s passenger handling capacity by about 50 million passengers annually.
Beyond building world-class infrastructure, we must rethink how our air hub operates.
How will passengers move from one gate to another? How will baggage be delivered across multiple terminals? How will aircraft landings and take-offs be sequenced on our runways?
These are genuinely hard problems that need both hardware and software innovations.
A new terminal alone won’t do the job. There are multiple constraints to doubling the flights that we serve.
Among other challenges, we will need a next-generation Air Traffic Management system that prioritises both safety and volume.
This is just one of the many exciting opportunities in aviation that AI can help with.
Our maritime hub at Tuas Port is another good example. It is the world's largest automated container terminal along one of world’s busiest waterways.
There are rich datasets of complex operations useful for developing exciting new solutions.
Tomorrow, my colleague, the Transport Minister, Mr Jeffrey Siow, will share more of his ambitions with you.
Our connectivity challenges clearly demonstrate where Singapore can be a living lab for the world.
Likewise in Advanced Manufacturing, the scope and scale for impact is significant.
Developments in physical and embodied AI have great relevance to our manufacturing companies.
They already operate at the cutting edge of efficiency to thrive against intense competition.
Industrial robot density in SG is about 5X the global average, and consistently one of the highest in the world.
Physical AI can help with simulations for process redesign.
Better digital twins can improve predictive maintenance, reduce material wastage and production downtime.
But it is not so simple. Ideas developed in research labs do not always perform well enough in real factory settings.
To see real impact, we will need collaborators from the hardware, software, and operational domains.
This is why we welcome NVIDIA’s new Research Lab in Singapore, focussing on embodied AI and efficient AI.
The lab will work hand-in-hand with our universities, industry partners and government agencies.
It strengthens NVIDIA’s existing foundation in Singapore, deepens our AI talent ecosystem, and unlocks new sources of innovation.
We are also developing Punggol Digital District as a frontier testbed. Years ago, not so young Singaporeans like me will remember that Punggol was a sleepy village.
But in today’s Punggol, we will create an integrated data platform, design real-world test scenarios, and rules that enable robots to safely operate across the district.
Robots can help our workers enhance service delivery to areas that are currently underserved.
A growing network of industry partners is using Punggol’s ecosystem for testing and experimentation.
These sandboxes and collaborations help to spread acceptance and adoption.
On its own, Singapore’s domestic market may not warrant so much attention.
What makes us compelling is the global network we are connected to and our track record for trusted technology adoption.
Leading companies like NVIDIA choose to deepen their presence here because we add something valuable to their global footprint.
We look forward to more of you joining them.
You will have noticed a pattern across what I shared today. The testbed at Punggol. Our ambitions for Changi T5. Etc.
In all these efforts, Singapore entities will not be passive observers, waiting for solutions to be served on a platter.
We will engage actively, address pain points along with our partners, strengthen our ecosystem to create new value for business and industries.
These partnerships are one of two critical enablers to activate our National AI Missions.
The other is governance – which we take seriously, because what we use in Singapore must be worthy of trust.
Although AI has developed at a breathless pace, governance approaches are far from settled.
But the stakes are getting higher, as AI becomes more deeply embedded in areas affecting people’s lives – healthcare, finance, transport, public services.
The risks from autonomous agents, from cybersecurity threats, from the erosion of trust in information – they do not respect national boundaries.
The benefits of AI may also become narrowly distributed. Reduced access and lack of inclusion will disadvantage smaller countries like Singapore.
Internationally-recognised rules and standards will be important. But they will take time to form.
Meanwhile, we have started to spread and shape expectations, monitor how they shape ground realities, and adjusting them as we go.
One example is the Model Governance Framework for Agentic AI, which was developed with industry inputs and launched at the World Economic Forum in January.
It has been just a few months, but we are updating the framework today, with case studies of real-world agentic deployments by companies like PwC and Workday.
We also released a case study on OpenClaw, highlighting best practices for users.
Within the government, we apply the same iterative process to our own use of agents, experimenting through sandboxes with partners like Google, and learning how to make them safe.
In parallel, we interact closely with the global community of AI safety practitioners.
In fact, on Monday, an eminent group including Professors Yoshua Bengio, Stuart Russell, Dawn Song, Zhang Ya-Qin and Max Tegmark have just updated the Singapore consensus on AI Safety Research Priorities.
These efforts recognise that much work and international cooperation is needed before we can be assured of safety-by-design, where AI is deployed responsibly in areas that matter.
Singapore sees them as an essential investment of time and treasure, which we will commit to the long term so that AI can be trusted.
The efforts I outlined are part of AI becoming mainstream in our economy and society.
As a result, the AI hub in Singapore is increasingly vibrant.
Our National AI Missions provide strong reason for leading AI firms to anchor themselves here, to develop, test and scale AI solutions that are trusted and globally relevant.
At the same time, in areas like healthcare and education, we are harnessing AI for the Public Good and to improve athe well-being of our citizens.
We will speak more about them at suitable platforms.
In conclusion, we hope your time at ATx will give you a clearer sense of what it means to build with Singapore.
I invite you to join us to make a greater positive impact.
And I wish you all a very fruitful ATx.