MDDI 演講稿 · 2025-11-26
政務部長劉燕玲在AIMX新加坡的開幕主旨演講
要點
- • 新加坡科技與創新經濟戰略審查委員會由政務部長 Jasmin Lau 與政務次長 Goh Hanyan 聯合領導,正圍繞「應用」「整合」「信任」三大支柱制定國家 AI 戰略框架。
- • 在「應用」層面,新加坡的戰略重心是在各行各業全面落地 AI,而非自建大型語言模型,並要求企業從零出發構想「AI 原生」的行業形態,而非僅追求邊際效率提升。
- • 在「整合」層面,委員會主張建設開放基礎設施,讓全球各規模企業均可獲取算力、資料與 AI 模型,確保 AI 機遇不因財力門檻而受限。
- • 「整合」支柱還呼籲設立更多測試床與沙盒,推動有前途的 AI 試點走出「沙盒煉獄」、升級為全國性解決方案,並通過開放協作將全球 AI 模型本地化以服務新加坡與區域市場。
- • 在「信任」層面,新加坡計劃將本國標準嵌入數字經濟協議及國際合作框架,使在新加坡誕生的產品與服務在全球範圍內獲得公信力認可。
- • 「信任」支柱還包括將 AI Verify 和 AI Assurance 工具作為「信任即服務」向全球企業開放,供其對照新加坡標準驗證 AI 系統,並設立「新加坡信任標誌」以標示可靠性、安全性與品質。
- • 委員會指出,心態轉變是新加坡面臨的最大挑戰,需在全國層面從規避風險的「先行者劣勢」思維,轉向更具好奇心、勇氣與敏捷性的 AI 採用方式。
完整譯文(繁體中文)
MDDI 英文原文譯文 · 翻譯日期: 2026-06-21
大家早上好。
感謝今天邀請我出席第三屆 AIMX Singapore。
今天在座的許多人,大概是想了解 AI 如何能幫助你們的行業或公司。
或者你們是想了解其他人如何運用 AI 助力公司發展,同時摸清競爭態勢。
你們中的大多數,今年至少參加過一場其他 AI 或科技會議,也許不止一場。有時候,我覺得唯一比 AI 增長更快的,就是 AI 會議的數量。
就在過去這一年裡,我參加了許多這樣的科技會議——但我一點也不覺得厭倦。每個月去參加新的會議,都能看到新的進展——新工具、新技術。
技術發展非常迅猛,但當你聽到如此之多的觀點時,可能會深感應接不暇。
那該怎麼辦呢?你可以轉向 AI,嘗試問它:"你能為我推薦一些 AI 時代的商業策略嗎?"或者"你能建議我哪家 AI 解決方案供應商最適合我的公司嗎?"
現在,請設想一下,如果 AI 在新加坡 1965 年剛剛獨立時便已存在,而我們的開國領袖在那時向 AI 詢問如何建設經濟——它會給出什麼答案?
我在 ChatGPT 中輸入了以下提示詞:"鑑於新加坡 1965 年的經濟狀況和政治環境,根據經濟學文獻與研究,當時應推薦怎樣的經濟戰略?"
AI 給出的回答是:
它會建議新加坡明哲保身,保持謹慎。
用關稅和配額保護本國產業。
保持一個低調的貿易港口定位,專注於低成本製造業。
依賴更大的鄰國獲取市場規模。
避免在跨國企業上押下豪賭。
但 AI 無法預見、也看不到的,是我們這個小國敢於邁出不可思議之跨越的能力。
70 年代,我們將裕廊從沼澤之地建成工業城鎮——從一個簡單的貿易站蛻變為舉足輕重的製造業中心。
80 至 90 年代,我們決定與全球市場接軌,將自身打造為區域金融中心和航運樞紐。
進入 2000 年代,我們投資研發,大力發展生物醫藥產業,並立志成為全球科技中心。
這一切,都不是 AI 會推薦的方向。
今天,我們正在邁入我們現在所稱的"智慧經濟"時代。
我們看到 AI 能夠如此大幅地放大人類能力,使得小團隊能以前所未有的速度打造獨角獸企業。
但這也給我們帶來了令人不安的局面。是的,AI 拉平了整個經濟領域的競爭起跑線。這同時意味著,曾經讓新加坡脫穎而出的優勢,如今已更容易被其他國家和城市複製。
AI 讓學習我們最佳實踐變得輕而易舉。
隨著越來越多的國家認識到 AI 的潛力,這也意味著許多國家和企業將重構供應鏈,尋求更安全的據點。
因此,新加坡政府當前面臨的問題是:在這個新世界中,我們如何保持自身的相關性、競爭力與信心?
信心至關重要,因為我們的人民需要對政府引領新加坡走過這一新時代的方式充滿信心。
我們設有一個負責科技與創新領域的經濟戰略檢討委員會,由我與高階政務次長吳漢英共同領導。我的部分委員會成員今天也在場——麗怡和天怡。感謝二位的出席。
我們目前還沒有所有答案,但我認為這是一個分享我們初步思考的好機會。我們今天也希望聽聽你們的想法——如果你們有任何反饋,隨時給我們留言。
我們圍繞三個領域來整理思路——應用、整合與信任。
首先是應用。新加坡長期以來以把事情做好著稱——有條不紊、可靠高效。但AI不只是獎勵效率,它獎勵那些願意嘗試的人,這意味著要有勇氣去做新的事情。AI獎勵那些願意想象此前不可能之事的人。
因此,我們的領先行業和企業現在必須提出更令人不安的問題。他們不應該問:「AI能讓我們提速10%或20%嗎?」而應該問:「如果我們今天從零開始,在一個AI原生的世界裡,這個行業會是什麼樣子?」
當我們談論應用時,這不是要構建下一個大型語言模型(Large Language Model),因為我們認為這不是新加坡最能發揮優勢的地方。我們認為,重點在於將AI應用於新加坡的每一個行業和領域。
我想舉幾個例子。在物流領域,我們是否只是在嘗試實現港口運營的自動化?或者,新加坡能否成為全球的智慧指揮中心——供應鏈能夠因中斷、天氣或需求激增而即時調整?系統能夠在任何人察覺之前自行檢測故障並修復?
聽起來有點讓人擔憂,也難以實現,但這正是我們希望開始聚焦的願景。
在醫療健康領域,我們是否僅將AI用於改善診斷?或者我們能否構建預測性和預防性的醫療模型,不僅延長壽命,更延長健康壽命?
這些都是值得提出的問題。我今天對在座各位的期望是:當你們參觀展覽時,問問自己——在你們自己的公司裡,在這個AI世界中,你們會做哪些完全不同的事情?
這些轉變不僅需要新的技術工具,還需要新的思維方式和新的合作關係。但正是這些雄心壯志,將使新加坡保持領先——不是把同樣的事情做得更好,而是去做全新的事情。
第二是整合。新加坡長期以來的優勢在於讓系統的不同部分協同運作。政府、企業、學術界、研究機構——基於國際標準,我們非常善於協調。
但在當今的智慧經濟中,我們需要將新加坡視為一個開放的網路,而不僅僅是單一的生態系統——一個來自世界各地的最佳創意可以落地、生長和規模化的地方。
我們的委員會正在思考如何通過三種方式儘可能保持新加坡的開放性。
開放基礎設施。我們的算力、資料和AI模型必須讓各種規模的企業都能獲取——無論來自世界何處。AI的機遇不應僅限於那些負擔得起的人。
開放實驗。我們在政府、金融和醫療健康領域已經推出了許多測試平臺和沙盒。但我們還需要更多。
在這些沙盒中,企業可以安全地試驗AI解決方案,有潛力的創意不會困於"試點煉獄"。有些AI專案在試點階段停滯太久,都該獲得長期服務獎了。
我們需要認真思考如何將試點推進為國家級解決方案、如何有意義地擴充套件規模,以及如何確保沙盒仍然存在,但要留給新的試點專案。
開放協作。我們或許不會構建世界上最大的AI模型,但我們可以匯聚研究人員、初創企業、導師和政府,將來自世界各地的這些模型加以適配,使其在新加坡以及整個地區執行得更好、更快、更安全。
委員會重點關注的第三個領域是信任。
在AI可以被部署於任何地方的時代,信任是那項難以被輕易取代的稀缺資產。
建立信任花了我們數十年。對我們機構的信任、對我們治理的信任,以及對"新加坡說某件事會奏效,它就真的會奏效"的信任。
但信任也必須與時俱進。當我們走得太慢,信任就變成了自滿;當我們走得太快,信任就會變得非常脆弱。我們都知道,一旦失去信任,要重建是極為困難的。
我們的委員會相信,我們能夠將信任轉化為新加坡的戰略優勢。我們希望信任成為我們的貿易貨幣。我們可以通過數字經濟協議(Digital Economy Agreements)和國際合作,將新加坡的標準嵌入全球協議。
未來,來自新加坡的產品和服務將在全球各地獲得信賴。
我們還希望提供"信任即服務"。AI Verify或AI Assurance等工具將使全球企業能夠依據透明、嚴格、由新加坡制定的標準來驗證其系統。
我們希望將信任提升為我們的溢價標籤。在這裡構建的產品和服務應當帶有"新加坡信任標誌"(Singapore trust mark)——這是可靠性、安全性和質量的訊號。
但我們更大的挑戰,是思維方式。
新加坡人善於謹慎和自律,但AI獎勵那些充滿好奇、勇於探索、靈活敏捷的人。
我們確實需要適應那片灰色地帶,適應那種模糊性。我們確實需要承擔一些經過計算的風險,並且必須接受並非一切事情都能一次成功。
上週有幾位企業領導人在一次對話中告訴我:「你知道面對先行者劣勢是什麼感覺嗎?我可以率先購買這項技術並嘗試推行,但如果我第一個出手,損失可能很大。我想讓別人先試,如果成功了,我再跟進。如果失敗了,還好我沒做。」
這正是我們需要克服的那種思維方式。我們並不是說新加坡每個人都必須成為先行者,但作為一個國家,我們確實需要更多這樣的思維方式。
我們還需要這樣一類人才——他們不只懂得如何使用 AI,更能夠想象出解決問題的全新方式。
我們曾多次自我革新——從貿易站到製造業中心,再到全球樞紐。如今,我們面臨的挑戰是邁出下一個跨越:從高效走向創新,從善於治理走向塑造世界,從遵循最佳實踐走向制定最佳實踐。
如果我們能做好這一點,新加坡將不只是智慧經濟的參與者,更將以我們的理念與想象力,共同塑造這一經濟形態。
最後,祝本次活動圓滿成功。請大家沉浸於今日展示的各項技術之中,並挑戰自我,力爭成為先行者,退而求其次也要做第二個行動者。
謝謝。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-06-21
Good morning, everyone.
Thank you for having me here today at the 3rd edition of AIMX Singapore.
Many of you are here today, probably because you want to find out how AI can help your industry or company.
Or maybe you are keen to find out how others are using AI to help their companies, and you are trying to suss out the competition.
Most of you would have attended at least one other AI or technology conference this year, perhaps more. Some days, I feel the only thing growing faster than AI is the number of AI conferences.
Just in the past year alone, I’ve been at many of these technology conferences – but they don’t make me feel bored. Every month, when you go for a new conference, you see new developments being displayed – new tools and technologies.
The technology is moving very fast, but it can get very overwhelming when you hear so many perspectives.
So what do you do? You could turn to AI and try to ask, “can you recommend me some business strategies in the age of AI?” or “can you suggest to me which AI solution vendor is most suitable for my company?”
Now imagine, for a moment, if AI had existed when Singapore first became independent in 1965, and our founding leaders had asked AI at that point, how to build our economy – what would it have said?
I put the following prompt into ChatGPT: “Given Singapore's economic situation and political environment in 1965, what would have been the recommended economic strategy for Singapore based on economic literature and research?”
The response from AI was that:
It would have urged Singapore to play it safe. Stay cautious.
Protect your industries with tariffs and quotas.
Remain a modest trading port. Focus on low-cost manufacturing.
Depend on your larger neighbours for market scale.
Avoid bold bets on multinational firms.
But what AI would not have predicted, or seen, was our capacity as a small country to take improbable leaps.
In the 70s, we turned Jurong from swampland into an industrial town – we shifted from a simple trading post into a serious manufacturing centre.
In the 80s and 90s, we decided to connect with global markets and built ourselves up as a regional financial centre and shipping hub.
And in the 2000s, we invested in research and development, built up our biomedical industry and we aimed to be a global tech hub.
All of this was not what AI would have recommended.
Today, we are entering what we now call the intelligence economy.
We see how AI can amplify human ability so dramatically that small teams can build unicorns faster than ever before.
But this also creates an uncomfortable situation for us. Yes, AI has levelled the playing field across the economy. It also means that what once made Singapore exceptional is now easier for other countries and cities to replicate.
AI makes it simple to learn our best practices
As more countries recognise AI’s potential, it also means that many of these countries and companies will restructure supply chains and seek safer bases.
So the question that our Singapore Government is now posed with is: How do we stay relevant, competitive and confident in the new world?
Confidence is very important, because our people need to feel confident in the way that the Government leads Singapore in this new era.
We have an Economic Strategy Review committee on Technology and Innovation, which I lead together with Senior Parliamentary Secretary, Goh Hanyan. Some of my committee members are here with me today – Lai Yee and Tianyi. Thank you for joining us.
We don’t have all the answers yet, but I thought it would be a good chance to share our early thinking. We also want to hear your ideas today – if you do have any feedback, drop us a note anytime.
We are organising our thoughts around three areas – Application, Integration, and Trust.
First, application. Singapore has long been known for doing things well – systematic, reliable, efficient. But AI doesn’t just reward efficiency. It rewards people who are willing to experiment, and that means having the courage to do something new. AI rewards people who are willing to imagine what was previously impossible.
So, our leading sectors and companies must now ask more uncomfortable questions. They shouldn’t be asking: “How can AI make us 10% or 20% faster?”. But they need to be asking: “If we were starting from scratch today, what would this industry look like in an AI-native world?”
When we are talking about application, it’s not about building the next Large Language Model, because that's not where we think Singapore could best play. We think it's about applying AI in every industry and sector in Singapore.
I thought it would be useful to give you some examples. In logistics, are we simply trying to automate our port operations? Or could Singapore be the world’s intelligent command centre – where supply chains can be adapted instantly due to disruptions, weather, or demand spikes? Where systems detect faults and fix themselves before anyone notices?
Sounds a little bit scary and impossible, but that is the kind of vision that we want to start focusing on.
In healthcare, are we using AI only to improve diagnostics? Or are we building predictive and preventative care models that extend not just lifespans but health spans?
A lot of questions worth putting out there, and my hope for all of you today is as you walk through the exhibitions, ask yourselves, n your own companies, what would you be doing completely differently in this AI world?
These shifts require not just new technology tools but new mindsets and new partnerships. But these are the ambitions that will keep Singapore ahead — not by doing the same things better, but by doing completely new things entirely.
Second, integration. Singapore’s long-standing strength is getting different parts of our system to work together. Government, business, academia, research – we are quite good at coordination, based on international standards.
But in today’s intelligence economy, we need to think of Singapore not as a single ecosystem, but as an open network. A place where the best ideas from around the world can land, grow, and scale.
Our committee is thinking about how to keep Singapore as open as possible, in three ways.
Open infrastructure. Our compute, data, and AI models must be accessible to companies of all sizes – from all around the world. AI opportunity shouldn’t be limited to those who can afford it.
Open experimentation. We have launched many testbeds and sandboxes in government, finance, and healthcare. But we need a lot more of these.
Sandboxes where companies can trial AI solutions safely, and where promising ideas don’t get stuck in pilot purgatory. Some AI projects get stuck in pilots for so long, they should qualify for long service awards.
We need to think harder about how to move pilots into national solutions, how to scale them meaningfully, and how to ensure that the sandbox still exists, but for new pilots.
Open collaboration. We may not build the world’s biggest AI models. But we can bring together researchers, startups, mentors, and government to adapt these models from around the world, and make them work better, faster, and safer for us in Singapore, and in the region.
The third area that the committee has been focusing on is trust.
In an age where AI can be deployed anywhere, trust is the rare asset that cannot be replaced as easily.
It has taken us decades to build. Trust in our institutions, trust in our governance, and trust that when Singapore says something will work, it does.
But trust too, must evolve. When we move too slowly, trust becomes complacency. When you move too fast, trust becomes very fragile. We all know that when we lose trust, it’s very hard to recover.
Our committee believes we can convert trust into our strategic advantage for Singapore. We want trust to be our trade currency. We can embed Singapore’s standards into global agreements through Digital Economy Agreements and international collaborations.
In the future, products and services coming out of Singapore will be trusted all over the world.
We also want to offer trust as a Service. Tools like AI Verify or AI Assurance will allow companies worldwide to validate their systems against transparent, rigorous, Singapore-developed standards.
We want to elevate trust as our premium. Products and services built here should carry the “Singapore trust mark” – a signal of reliability, safety, and quality.
But our bigger challenge, is mindset.
Singaporeans are good at being careful and disciplined, but AI rewards those who are curious, brave, and agile.
We do need to get comfortable with that grey space, that ambiguity. We do need to take some calculated risks, and we must accept that not everything will work on the first try.
Some company leaders told me last week during a dialogue: “Do you know how it feels to face first mover disadvantage? I could be the first one to buy the technology and try and implement it, but I lose big if I go first. I want someone else to try it, and then if it works, I'll do it. And if it doesn't, thank goodness, I didn't do it”.
That's the kind of mindset that we do need to get over. We're not saying everybody in Singapore must be a first mover, but as a country, we do need a bit more of that mindset.
We also need people who don't just know how to use AI, but who can imagine new ways to solve problems.
We've reinvented ourselves many times before – from trading post to manufacturing centre to global hub. Now, our challenge is to make the next leap forward. From being efficient to inventive. From being well-run to world-shaping. From following best practices to setting them.
If we can do this well, Singapore will not just be a participant in the intelligence economy. We will help shape it with our ideas and imagination.
On that note, I wish you a fruitful event. Please immerse yourselves in the technologies on display today and challenge yourselves to be the first mover, if not the second.
Thank you.