MDDI 演講稿 · 2025-05-19
陳杰豪高階政務部長在設計 AI 與科技獎 2025 上的演講
要點
- • 首屆「Design AI and Tech Awards」（設計 AI 與科技獎）。兩個核心概念：「Design in AI」（讓 AI 直觀、安全、貼合人類思維）+「AI in Design」（讓 AI 拓展創造力的邊界）。
- • 案例：EmpathIQ（SUTD × 陳篤生醫院的對話式 AI 醫護反饋助手）；AUROMA（SUTD × 歐萊雅的 LLM 香水推薦助手）；LionsBot 清潔機器人；SBS Transit「Project 6Sense」讓地鐵可靠性達到 800 萬 MKBF。
- • 2024 年僅一年——近 3,000 家 SME 採用了 AI 加持方案；DBS 調研顯示近 3/4 的 SME 計劃投資生成式 AI——並打算同步升級員工。
- • 去年 9 月啟動首個行業級 AI 卓越中心（製造業）——A*STAR + 高校 + 產業，已有 10 多家大企業上車。
- • 工具棧：CTO-as-a-Service（300+ 預審方案，近 1/3 AI 加持，2024 年支援 33 萬+ 使用者）+ SMEs Go Digital（自 2017 年惠及 10 萬 SME）+ GenAI Navigator + GenAI Playbook。
- • 教育：2024 年 IDT（資訊與數字技術）專業約 8,000 名學生入讀（佔總佇列 17%）；大學 IDT 名額從 2020 年 3,000 升至今年 4,000——佔新加坡學位名額 1/4 以上。TeSA 自 2016 年支援 30 萬+人提升技能、對接 19,000+ 本地人進入科技崗位。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-03
新報業媒體（SPH Media）執行長 Chan Yeng Kit 先生，
新加坡科技設計大學（SUTD）校長潘國權教授，
各位女士、先生：
早安。我很高興出席首屆「Design AI and Tech Awards」（設計 AI 與科技獎）——它表彰用心思考的設計與前沿技術結合，以有意義的方式解決真實世界挑戰。
這次活動在 SUTD 舉辦尤其合適。
SUTD 是世界上首所專注於「Design AI」的大學。通過新的學術專案與產業合作——SUTD 在重新構想「如何培育下一代創新者」——他們能借助 AI 支撐「以人為中心」的技術。
學生作品裡這種「目的導向式創新」的精神——通過兩個不同的概念得到體現：
第一是「Design in AI」（設計於 AI 之中）——讓 AI 直觀、安全、與我們思考、工作、生活的方式對齊。
「EmpathIQ」是個好例子。SUTD 學生與陳篤生醫院合作，設計了一款對話式 AI 助手——幫助醫護更好地管理員工反饋。這款工具能解讀語氣與語境——讓互動更具共情、更有響應。
第二個概念是「AI in Design」（AI 在設計之中）——探索 AI 如何拓展創造力的邊界。
「AUROMA」是 SUTD 學生與歐萊雅（L'Oreal）共同開發的智慧香水助手。這套系統用大語言模型理解使用者偏好——推薦個性化香水——交付更直觀、更定製的體驗。
這些例子反映了我們看到的更宏觀的轉變——「設計讓 AI 更人性、AI 把設計推得更遠」。
「Design AI 與科技獎」希望表彰這種「目的導向的創新」。
致所有入圍者：恭喜！
你們走過了一個高度競爭的過程。
我期待更深入瞭解你們的工作——以及你們如何把 AI 與設計結合起來——為我們身邊的世界打造有意義的方案。
我們也看到——越來越多公司把 AI 視為「成長與轉型的實操工具」。
其中許多已超越「實驗」階段——把 AI 部署到日常運營中。
我也很高興中小企業（SME）也是這一趨勢的一部分。
在 GenAI Sandbox 等舉措、以及面向 SME 的 Microsoft Copilot、Gemini for Google Workspace 等工具的支援下——更多 SME 正在擁抱 AI。
僅 2024 年——就有近 3,000 家 SME 採用了 AI 加持的方案。
從用 AI 預測需求的本地零售商，到最佳化選單、減少浪費的餐飲運營商——
星展（DBS）最近的一項調研也發現——近 3/4 的 SME 計劃投資生成式 AI——並同樣比例地打算為員工升級技能、把它用足。
在今年的入圍作品中——我們看到許多 AI 與設計結合解決真實問題的例子。
比如 LionsBot——他們設計的 AI 加持清潔機器人——減輕了體力負擔——同時提供直觀的控制與使用者體驗。這回應了行業裡非常真實的挑戰——也對年長員工是利好——讓他們在更年長時也能繼續工作。
另一個是新捷運（SBS Transit）的「Project 6Sense」。這一 AI 加持的儀表盤——整合來自整張鐵路網路的資料——給運營方一個列車健康的即時檢視。它通過早發現問題、引導預防性維護——幫助降低延誤、提升可靠性——目前 Downtown Line（地鐵市中心線）的「平均故障間隔里程」（MKBF）已達到 800 萬——這是公認的可靠性度量。這是一個很好的例子——「設計良好的系統能改善公共服務結果與通勤者的日常體驗」。
我們想看到更多這樣的「規模化影響」。這意味著我們要持續加強支撐它的生態——從底盤到每一個行業。
幾乎沒有哪家公司能單幹。
但我們能通過建立一個有活力的生態——給公司與發明者提供「測試空間、合適的合作伙伴、規模化的支援」——來解鎖新的可能。
政府正在主動支援這一生態——不僅惠及創新者，也惠及包括 SME 在內的所有企業。
第一——我們支援「行業級轉型」——把整個行業一起拉起來。
因此我們正在設立「行業級 AI 卓越中心」（Sectoral AI CoE）——把公共部門、研究者、產業玩家聚到一起——共創能在整條價值鏈上規模化的方案。
去年 9 月——我們啟動了第一個「製造業行業級 AI CoE」。
它把 A*STAR、我們的高等教育機構、產業夥伴聚到一起——共同開發預測性維護、由生成式 AI 與機器學習驅動的質量保證等方案。已經有 10 多家大企業上車——測試與規模化這些用例。
展望未來——我們也預期 AI 會改造設計行業——不只是「更好的工具」，而是塑造我們「如何創造、協作、解決問題」。所以我期待看到更多「Design in AI」與「AI in Design」的應用。
與此同時——我們也在支援公司（尤其是 SME）採用 AI。所以我們不只支撐生態的供給側——也通過降低門檻與上手難度——幫助公司「把 AI 用得更好」。
我們大多人都知道——SME 不一定有專屬的科技團隊，或者沒時間試用新工具。所以——他們怎麼決定從哪裡開始、聚焦哪些用例、用哪些工具？
這就是「CTO-as-a-Service」平臺登場的地方——它提供 300 多個預先核准的數字方案——其中近 1/3 是 AI 加持的。
僅 2024 年——這一平臺支援了超過 33 萬名使用者，並幫助近 3,000 家 SME 採用 AI 來增強運營、改善客戶服務、做出更明智的決策。
與之互補的是「SMEs Go Digital」專案——自 2017 年起惠及近 10 萬家 SME——讓他們以自己的節奏數字化、獲得契合需求的工具。
這些專案支援終端使用者——企業與 SME——讓他們更容易採用數字方案與 AI。但我同樣把它視為對創新者的支援——如果你有一個解決行業真實問題的好方案——這些專案能幫你在更多客戶中規模化。
我也很高興——這些專案裡許多方案與技術供應商，都是有好想法的本地初創。所以——別隻把這些專案當作「支援終端使用者」——它們也是創新者觸達新市場分段、在新加坡（也希望走出新加坡）快速規模化的通道。
我們也在幫助公司採用新興技術——尤其是生成式 AI。
最近我們啟動了「GenAI Navigator」——提供 SME 可以試用與學習的用例、模板、精選工具；以及——
「GenAI Playbook」——一份實務指南——帶企業走過「自建 vs 購買 AI 方案」的利弊，以及如何評估自身「往前走」的準備度。
今早最後我想談一談——無論是設計還是 AI——最重要的一部分。它不是技術——它是「人與才」。工具與支援只能帶我們走到一定地步。
每一項突破的核心——都是一個人——擁有「想象 What if?」的能力——以及「把可能轉為現實」的技能。
這一點對 AI 與設計尤其成立。AI 要被廣泛採用——前提是系統設計得好——使用者介面與使用者體驗自然契合既有工作流。這意味著——既要有人懂技術、也要有人懂使用者與他們的需求。
這就是為什麼——我們在投資具備這些技能與能力的人。
我們在管線兩端都在「養」——因為工作不只在實驗室或董事會開始——它從課堂開始、在培訓中心繼續、在每一個想要保持領先的工作場所中演繹。
在「就業前」環節——我們在「資訊與數字技術」（IDT）專業上穩步擴招——以滿足興趣增長與產業需求。
2024 年——大學、理工學院、ITE 共有約 8,000 名學生就讀 IDT 課程——約佔總佇列 17%。在大學層面——IDT 名額從 2020 年的 3,000 升至今年 4,000——目前佔新加坡學位名額的 1/4 以上。
在 SUTD——「建築與可持續設計」「工程產品開發」等學派與專案的學生——被訓練把 AI 作為「夥伴」而不只是「工具」。這是一個清晰的例子——大學如何讓 AI 在科技內外的各領域都變得可獲得、務實、相關。
我們也通過「TechSkills Accelerator」（TeSA）等舉措支援持續學習。自 2016 年啟動以來——TeSA 已支援超過 30 萬人獲得新技能——從 AI 與資料分析到軟體工程與網路安全——並幫助超過 19,000 名本地人進入科技崗位。
我們看的也不只是科技行業——我們也在幫企業與員工為變化做準備。
正如盛港綜合醫院團隊前面提到的——重點是把這些技能嵌入每一位員工、每一個工作場所。
我們的「工作轉型地圖」（JTM）涵蓋物流、人力資源、金融等行業——為「角色如何演化、如何跟上節奏」提供清晰、務實的指引。
歸根結底——我們希望每一位新加坡人——無論是學生、中職專業人士還是企業主——都能對自己在「AI 驅動的未來」中的位置有信心。
因為技術只能走到「我們的人準備好把它帶去的遠方」。
所以——我以再次祝賀所有入圍者來收尾。我享受閱讀各位專案的介紹、聆聽各位的演講。
你們已經證明——當我們投資於「好的設計、堅實的合作、了不起的人」——我們就能解鎖 AI 的全部承諾。
致在場的所有人——這是一個我們走到一起、建立連線、彼此學習的機會。希望今天之後——你們能從我們看到的想法與創新中獲得靈感——並感到有能量加入我們正在新加坡構建的這個充滿活力的生態——不只是為了「這個小紅點」，而是能投射到我們的海岸之外。
「Design AI 與科技獎」提醒我們——設計與技術攜手——能創造既前沿又紮實、值得信賴、以人為核心的方案。
這就是我們如何確保 AI 持續成為「為所有人服務的善的力量」。
非常感謝。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-02
Mr Chan Yeng Kit, CEO, SPH Media
Professor Phoon Kok Kwang, President, SUTD
Ladies and Gentlemen
Good morning. It is my pleasure to join you today at the inaugural Design AI and Tech Awards, which recognises how thoughtful design and cutting-edge technology can come together to solve real-world challenges in meaningful ways.
It is especially fitting that this event is being held at SUTD.
SUTD is the world’s first university to dedicate itself to Design AI. Through new academic programmes and industry partnerships, SUTD is reimaging how we can nurture the next generation of innovators who can harness AI in support of human-centered technologies.
This spirit of purposeful innovation is exemplified in the students’ work through two distinct concepts:
The first is Design in AI, which shapes AI to be intuitive, safe and aligned with how we think, work and live.
EmpathIQ is a good example. SUTD students worked with Tan Tock Seng Hospital to design a conversational AI assistant to help healthcare staff better manage employee feedback. The tool interprets tone and context, allowing for more empathetic and responsive interactions.
The second concept is AI in Design, which explores how AI expands the boundaries of creativity.
AUROMA is a smart fragrance assistant co-developed by SUTD students and L’Oreal. This system uses Large Language Models to understand user preferences and recommend personalised fragrances, delivering a more intuitive and tailored experience.
These examples reflect a broader shift we are seeing – the power of design to make AI more human, and the power of AI to push design further.
The Design AI and Tech Awards seek to recognise such approaches to purposeful innovation.
So, to all the finalists: Big congratulations!
You’ve made it through a highly competitive process.
And I look forward to learning more about your work, and how you are combining AI and design to build meaningful solutions for the world around us.
We are also seeing more companies viewing AI as a practical tool for growth and transformation.
Many of them have moved past just experimentation, to deploy AI in their daily operations.
And I am glad that our Small and Medium Enterprises or SMEs are part of this trend.
Many more of them are embracing AI, supported by initiatives like the GenAI Sandbox, as well as tools like Microsoft Copilot for SMEs, and Gemini for Google Workspace.
In 2024 alone, close to 3,000 SMEs adopted AI-enabled solutions.
From local retailers using AI to forecast demand, to F&B operators optimising menus and reducing wastage.
And a recent DBS survey found that nearly three in four SMEs plan to invest in GenAI, and just as many intend to upskill employees to make the most of it.
Among this year’s finallists for the awards, we see many examples of how AI and design can come together to solve real-world problems.
One example is LionsBot, which has designed AI-powered cleaning robots to ease physical workloads, while offering intuitive controls and user experience. This addresses a very real challenge in this industry, and is also a boon for its older workers, enabling them to continue working even at a later age.
Another is SBS Transit’s Project 6Sense. This AI-powered dashboard integrates data from across the rail network to give operators a real-time view of train health. By spotting issues early and guiding preemptive maintenance, it has helped reduce delays and boost reliability, with the Downtown Line now achieving 8 million mean kilometres between failure (MKBF), which is a widely accepted measure of reliability. It is a great example of how well-designed systems can improve public service outcomes and the everyday experiences of commuters.
So we want to see more of such impact at scale. This means we need to keep strengthening the ecosystem that supports it, from the ground up and across every sector.
Few companies can do this alone.
But we unlock new possibilities by creating a vibrant ecosystem where companies and inventors have access to an enabling ecosystem that offers space to test, the right partners to build with, and support to scale.
The Government is actively supporting this ecosystem to benefit not just innovators but all businesses including our SMEs.
First, we are supporting efforts to uplift entire industries through sector-wide transformation .
So, we are setting up Sectoral AI Centres of Excellence (COE), which gather public agencies, researchers and industry players to co-create solutions that is scaled across entire value chains.
We launched the first sectoral COE for AI in Manufacturing, last September.
It brings together A*STAR, our institutes of higher learning, and industry partners to codevelop solutions such as predictive maintenance and quality assurance powered by GenAI and machine learning. Already, more than 10 major companies have come on board to test and scale these use cases.
Looking ahead, we also expect AI to transform the design sector, not just through better tools, but by shaping how we create, collaborate and solve problems. So I look forward to many uses of AI in design and design in AI.
At the same time, we are also supporting companies, particularly SMEs, to adopt AI. So we are not just supporting the supply side of the ecosystem, but also helping companies to adopt AI by lowering the threshold and ability to adopt AI in a much better way.
As many of us know, an SME may not always have the luxury of a dedicated tech team, or have the time to trial new tools. So how can they decide where to begin, what use cases they should focus on, and what tools they should use?
This is where the CTO-as-a-Service platform comes in. It offers over 300 pre-approved digital solutions, nearly a third of which are AI-enabled.
In 2024 alone, the platform supported more than 330,000 users, and helped close to 3,000 SMEs adopt AI to enhance operations, improve customer service, and make better-informed decisions.
Complementing this is the SMEs Go Digital programme, which has benefited close to 100,000 SMEs since 2017, giving them access to digitalise at their own pace, with tools that suit their needs.
So these programmes support the end user - the businesses and SMEs - by making it easier to adopt digital solutions and AI. But I see this as well to support innovators. Because if you have a good solution that solves a real-world problem for their sector, these programmes will help to scale up to many more customers in that industry.
And I’m very glad that many of our solution providers and technology providers in these programmes are local start-ups with good ideas. So don’t see these programmes as just supporting the end user but creating an avenue for our innovators to reach out to new market segments to scale quickly in Singapore and hopefully beyond Singapore.
We are also helping companies adopt emerging technologies, especially in the GenAI space.
We recently launched the GenAI Navigator, which offers use cases, templates and curated tools that SMEs can try out and learn from; as well as the
GenAI Playbook, a practical guide that walks businesses through the pros and cons of building versus buying AI solutions, and how to assess their own readiness to move forward.
I’d like to end off this morning’s remarks by talking about the most important part of whether it is design or AI. It’s not about the technology. It’s about people and talent. Tools and support can only take us so far.
At the heart of every breakthrough is a person, someone with the imagination to ask “what if?”, and the skills to turn possibilities into reality and practice.
This is especially true for AI and design. It will only be widely adopted if the system is designed well, with the user interface and user experience fitting naturally into existing workflows. That means having people who not only understand the tech, but also the users and their needs.
That’s why we are investing in people with such skillsets and competencies.
We are growing both ends of the pipeline, because the work doesn’t start only in the laboratories or boardrooms. It also begins in our classrooms, continues in our training centres, and plays out in every workplace looking to stay ahead.
On the pre-employment front, we have gradually expanded our intake of students in Information and Digital Technologies (IDT) space to meet growing interest and industry demand.
In 2024, around 8,000 students are enrolled in IDT courses across our universities, polytechnics and ITEs, making up about 17% of their entire cohort. At the university level, IDT places have increased from 3,000 in 2020 to 4,000 this year, now accounting for more than 1 in 4 degree spots in Singapore.
At SUTD, students across pillars and programmes such as Architecture and Sustainable Design and Engineering Product Development, are trained to work with AI as a partner and not just a tool. It’s a clear example of how universities are making AI accessible, practical and relevant across fields within and beyond tech.
We also support continuous learning through initiatives like the TechSkills Accelerator (TeSA) programme. Since its launch in 2016, TeSA has supported over 300,000 individuals in acquiring new skills, from AI and data analytics to software engineering and cybersecurity, and helped more than 19,000 locals enter tech roles.
And we are not just looking at the tech sector, we are also helping businesses and workers prepare for change.
As mentioned earlier by the Sengkang General Hospital team, it is about embedding these skillsets in every worker, in every workplace.
Our Jobs Transformation Maps (JTMs) include sectors like logistics, HR and finance, and provide clear, practical guidance on how roles are evolving, and how to keep pace.
Ultimately, we want every Singaporean, whether you are a student, mid-career professional, or business owner, to feel confident about your place in an AI-driven future.
Because technology can only go as far as our people are ready to take it.
So let me just end off by congratulating all our finalists once again. I enjoyed reading the writeups of all your projects and listening to your presentations.
You have demonstrated that when we invest in good design, strong partnerships, and great people, we can unlock the full promise of AI.
And to everyone here, it is an opportunity for us to come together, to network, to learn from one another. I hope that after today, you feel inspired by the ideas and innovations we have seen, and energised to be a part of this vibrant ecosystem that we are building here in Singapore - not just for this little red dot, but be able to project beyond our shores.
The Design AI and Tech Awards remind us that design and technology go hand in hand, to create solutions that are not only cutting-edge, but grounded, trusted, and with people at their core.
That is how we can ensure AI remains a force for good, for everyone.
Thank you very much.