MDDI 演講稿 · 2026-04-15

Rahayu Mahzam 政務次長在 2026 Design AI and Tech Awards 上的演講

Rahayu Mahzam · MDDI 政務次長 · 2026 Design AI and Tech Awards

要點

  • AI 普及已不再是「要不要用」的問題,而是「怎麼用」——用得有意義、能驅動生產力、創新與轉型。
  • 大企業(如現代汽車 HMGICS)將 AI 深度嵌入工作流,AI-native 初創(如 H3 Zoom AI)則圍繞 AI 重新設計整個商業模式。兩條路徑都成立。
  • 數字經濟報告顯示:大企業 AI 採用率從 44.0% 升至 62.5%,中小企業從約 5% 升至 14.5%(三倍)。
  • AI 越強,設計師的人文判斷越值錢——情境、文化、倫理、利益相關方協調。最強的設計師是「設計 + AI 雙語者」。
  • SUTD 的 Design AI、SBS Transit 的 SiLViA 專案示範:技術若想服務公共利益,必須為最難被設計到的人群留出空間。

完整譯文(繁體中文)

MDDI 英文原文譯文 · 翻譯日期: 2026-05-02

新加坡科技設計大學(SUTD)校長潘國權教授

新報業媒體(SPH Media)執行長陳永祥先生

SUTD 副校長、首席創新與企業事務長戴禮祥教授

《商業時報》總編輯陳惠芬女士

新加坡人工智慧機構(AI Singapore)AI 產品高階總監 Leslie Teo 博士

Granite Asia 高階管理合夥人 Jenny Lee 女士

新加坡設計理事會執行總監 Dawn Lim 女士

各位女士、先生:

晚上好。感謝 SUTD 與《商業時報》的盛情邀請。很高興出席第二屆「Design AI and Tech Awards」(設計 AI 與科技獎)。

祝賀今年通過嚴格評審入圍的所有團隊——這是了不起的成績,你們應當為此感到驕傲。

我也要感謝各位評委。你們來自學界、AI 研究、產業、媒體與設計領域,這種廣度本身就反映了本獎項跨學科的精神。

這一獎項設立得正是時候。在新加坡,越來越多機構已經不再問「要不要採用 AI」,而是開始問「怎麼用」。

如何把 AI 用得有意義——驅動生產力、創新與轉型。

今年新增兩個賽道,正是因為不同規模的公司都能從 AI 中獲益。

《2025 年新加坡數字經濟報告》顯示出令人鼓舞的進展:大企業的 AI 採用率從 2023 年的 44.0% 提升到 62.5%,幾乎上升 20 個百分點;中小企業則增長到三倍,達到 14.5%。

整個商業生態都在加速 AI 的採用。

不同規模的公司用 AI 的方式不同。大企業資源充足,能夠大規模部署,把 AI 深度嵌入系統與工作流,帶來轉型級的變化。

以現代汽車集團創新中心新加坡(HMGICS)為例。

他們重新構想造車這件事時,不只是把 AI 當工具用——他們造了一種全新形態的工廠。沒有傳統的傳送帶,由 AI 協調 200 多臺機器人在車間內動態移動,處理重複或潛在危險的工序,從而把人力釋放出來去做更高價值的工作。

結果說明一切:物流與製造流程實現了近 70% 的自動化,交付週期與瓶頸環節減少超過一半。意味著運營更順暢、擾動更少、週轉更快。

效率之外,這種運營模式還帶來了更激動人心的事情——電動車在新加坡本地生產,並以設計、技術與可持續性贏得國際認可。

中小企業與初創公司也在走自己的路。一些公司在既有業務裡把 AI 用在某些高價值環節;另一些則更進一步,從一開始就圍繞 AI 來構建整個商業模式。

H3 Zoom AI 就是「AI 原生」初創趨勢的一個好例子。他們不是在巡檢流程中插入 AI,而是圍繞 AI 重新構想了整門生意。

傳統的建築外牆巡檢又慢、又貴、又費人力,且高風險。H3 Zoom AI 的 Façade Inspector 平臺把所有環節整合到一個系統裡。

無人機遠端採集建築資料,AI 快速準確地識別缺陷。巡檢員不再需要爬上高樓,安全風險消除,成本減半,巡檢時間最多縮短 90%。

這就是「從第一天起就建立在 AI 之上」的含義——不是改良某一個環節,而是重新設計整個工作流,重新定義工作本身的形態。

政府將繼續加大力度支援企業在 AI 之路上不斷邁出下一步。我們在「全國 AI Impact 計劃」下推出多項舉措,鼓勵更多企業邁出第一步,也幫助已經在用 AI 的企業更進一步。

面向準備深入推進的業務領導者,我們最近啟動了「數碼領袖加速訓練營」(Digital Leaders Accelerator Bootcamp)。這是一項實操性課程,幫助領導者形成用 AI 轉型業務的清晰路線圖。首期已經報滿,後續場次將陸續推出,專為幫助企業建立將 AI 解決方案規模化、解決真實業務挑戰的信心。

「生產力解決方案補助」(Productivity Solutions Grant)現已擴充套件,覆蓋更多數字與 AI 類工具,幫助企業以更低成本找到合適方案、跨出第一步。

無論你處在哪個階段,支援都在那裡。下一步要不要邁出,決定權在你。

接下來我想談一件我認為同等重要、也許更貼近在座許多人內心的事。隨著 AI 能力增強、應用普及,「做設計」這件事和「成為一名設計從業者」的含義都在改變。

AI 現已能在多個層面上有力地支援設計流程:加速市場調研、快速原型設計、可用性測試,也能扮演「創意副駕駛」幫助團隊快速探索方向。過去要花幾周的事現在能在幾天甚至幾小時內完成。於是有人會問:AI 最終會不會在設計流程中完全取代人?

這種變化讓人覺得顛覆、甚至不安——這個我承認。但我相信:即便 AI 承擔越來越多技術與生成性工作,設計中那些獨屬於人的部分會變得更有價值,而不是更少。

設計師帶來視野,以及由真實生活經驗塑造的判斷力。他們理解情境——文化的、情感的、倫理的。他們做決策、把利益相關方對齊到共同目標上。最強的設計師,將是那些把深厚的設計專長與 AI 流利度結合起來的人,他們能解決更難的問題,交付真正服務於人的方案。

這正是今天這個獎項要展示的:最好的方案不是從一項技術或演算法去找問題,而是從一個真實的問題出發,帶著好奇心、創造力與關懷去解決它。

讓我印象最深的,不只是入圍團隊做出了什麼,更是他們背後的思考方式。我們如何讓這種思考方式成為常態,而不是例外?

這就是 SUTD「Design AI」教學方向重要的原因。作為全球首所聚焦 Design AI 的大學,SUTD 正在培養一種新的從業者——「AI 雙語者」,既精通自身領域,也通曉 AI。

設計始於人。它不只問「技術能做什麼」,而是問「人真正需要什麼、看重什麼、體驗到什麼」。這個問題不能由任何單一學科獨自回答。

Design AI 把這個原則向前推進。一位同時具備 AI 流利度的設計師,會為這門手藝帶來新的維度。他能判斷 AI 實際上能交付什麼,並確保正確的護欄到位。當領域知識與 AI 能力以這種方式協作時,我們才能造出真正改善生活、防範潛在傷害的方案。

如果我們希望 AI 服務於公共利益,它就必須為每個人留出空間——而不只是那些「最容易被設計到」的人。

新捷運(SBS Transit)的 Project SiLViA 就是一個例子。

對失聰與聽障群體來說,關鍵播報無法獲取時,日常出行就變得極為困難。

SiLViA 由 AI 驅動,提供即時雙向手語溝通:把廣播翻譯為手語,乘客也能用手語向系統表達並得到回應。

讓這個專案特別有意義的是——它不僅由技術塑造,更由共情與緊密協作塑造。團隊與失聰群體、手語翻譯員與一線員工充分溝通,並與新加坡聾人協會密切合作,以確保系統能夠呼應新加坡手語的語言與文化細節。

當技術以這樣的關懷來構建時,它會提醒我們一件重要的事:與眾不同地行動,是體驗世界的另一種方式。這些視角是用來「一同設計」的。藉助 AI,我們能更接近一個讓所有人都能以自己的方式充分參與的世界。

今天,我們看到了 AI 與目的相遇時的可能。

不同規模的公司,找到了更聰明地工作、更遠地伸展的方法。

設計從業者提出更難的問題,得到了任何單一學科都無法獨自找到的、能讓世界更好的答案。

今天展示的專案所應對的挑戰各不相同,但我相信它們講的是同一個故事:讓技術服務於人。各位入圍者的工作,正是這件事可行的證據。

致今天在場的所有人——無論你領導的是一家初創、一家大企業,還是培養下一代設計師與工程師——請把這種精神延續下去。帶著雄心使用 AI;帶著關懷使用 AI;最重要的是,為了人去使用 AI。

再次祝賀所有入圍者。你們的工作啟發我們,也指明瞭前進的方向。謝謝。

英文原文

MDDI 官網原始記錄 · 抓取日期: 2026-05-02

Professor Phoon Kok Kwang, President, SUTD

Mr Chan Yeng Kit, CEO, SPH Media

Professor Tai Lee Siang, Deputy President, Chief Innovation & Enterprise Officer, SUTD

Ms Chen Huifen, Editor, The Business Times

Dr Leslie Teo, Senior Director of AI Products, AI Singapore

Ms Jenny Lee, Senior Managing Partner, Granite Asia

Ms Dawn Lim, Executive Director, Design Singapore Council

Ladies and gentlemen.

Good evening. Thank you, SUTD and Business Times, for this kind invitation. It is wonderful to be here for the second edition of Design AI and Tech Awards.

To this year’s finalists, congratulations on making it through a rigorous judging process. That is a strong achievement, and you should be proud.

I also want to thank our distinguished judging panel, which has brought together expertise from academia, AI research, industry, media, and design. This breadth reflects the interdisciplinary spirit of these awards.

These awards come at an important moment. Across Singapore, organisations are increasingly moving beyond asking whether to adopt AI. The question now is how.

How to apply AI meaningfully, to drive productivity, innovation, and transformation.

The introduction of two award tracks this year reflects an important reality. Companies of all sizes can benefit from AI.

The 2025 Singapore Digital Economy Report shows us encouraging progress. AI adoption rates have grown by almost 20 percentage points from 44.0% in 2023 to 62.5% for large companies. For SMEs, the figure tripled to 14.5%.

Momentum for AI adoption is building across our entire business ecosystem.

Companies of varying sizes use AI differently. Large corporations often have the resources to deploy AI at scale. They can integrate it deeply into their systems and workflows, in transformative ways.

Take Hyundai Motor Group Innovation Center Singapore, for example.

When they set out to reimagine car manufacturing, they did not just adopt AI as a tool. They built an entirely new kind of factory. Instead of the traditional conveyor belt, AI orchestrates over 200 robots moving dynamically through the facility to handle repetitive and potentially hazardous tasks. This frees human workers to focus on higher-value work.

The results speak for themselves. Nearly 70% automation in logistics and manufacturing processes, with lead times and bottlenecks cut by more than 50 per cent. This means smoother operations, fewer disruptions, and faster turnaround.

Beyond efficiency, this operating model enables something even more exciting – EV cars made right here in Singapore, recognised globally for their design, technology, and sustainability.

Our SMEs and startups are also finding their own paths. Some apply AI to specific, high-value tasks based on their existing operations. Others go further, building their entire business models around AI.

H3 Zoom AI is a good example of this growing trend of AI-native startups. Rather than applying AI to one part of the inspection process, they reimagined the entire business around it.

Traditionally, façade inspections are slow, costly, labour-intensive, and high-risk. H3 Zoom AI’s Façade Inspector platform addresses all of these, bringing every step of the process into a single, integrated system.

Drones capture building data remotely, and AI analyses it to identify defects quickly and accurately. Inspectors no longer need to scale buildings, eliminating safety risks while halving costs and cutting inspection times by up to 90 per cent.

This is what it means to build on AI from day one. Not to improve one step, but to redesign the entire workflow, and redefine what the work itself looks like.

The Government continues to strengthen support for companies to keep taking the next step in their AI adoption journey. We have a range of initiatives under the National AI Impact Programme, aimed at encouraging more businesses to take the first step, and for those already using AI, to go even deeper.

For business leaders who are ready to go further, we recently launched the Digital Leaders Accelerator Bootcamp. This is a hands-on programme for leaders to develop a clear roadmap on transforming your business with AI. The first run has been fully subscribed, and more companies can soon expect upcoming sessions designed to build confidence in scaling AI solutions that address real business challenges.

The Productivity Solutions Grant now supports a broader range of digital and AI-enabled solutions to help companies find the right tools at lower costs and get started.

The support is there – whichever stage you are at. The next step to take is yours.

Now, I want to turn to something that I think is equally important, and perhaps closer to the hearts of many in this room. As AI becomes more capable and more widely adopted, it is changing what it means to do design work, and what it means to be a design practitioner in the future.

AI can now support the design process in powerful ways. It accelerates market research, rapid prototyping, and usability testing. It can serve as a creative co-pilot, helping teams to explore ideas and design directions quickly. What once might have taken weeks can now happen in days, or even hours. And some wonder: could AI eventually replace humans in the design process altogether?

I want to acknowledge that these changes can feel disruptive, even unsettling. But here is what I believe - even as AI takes on more of the technical and generative work, the distinctly human aspects of design become more valuable, not less.

Designers bring vision, and judgment shaped by lived experience. They understand context, including cultural, emotional, and ethical. They make decisions and align stakeholders around shared goals. The strongest designers will be those who combine deep design expertise with AI fluency, to tackle harder problems and deliver solutions that truly serve people’s needs.

This is what today’s awards demonstrate. The best solutions here did not start with a technology or algorithm in search of a problem. They started with a problem, approached with curiosity, creativity, and care.

What strikes me is not just what the finalists have built. It is also the thinking behind it. How do we make that way of thinking the norm, and not the exception?

This is why SUTD's Design AI approach matters. As the world's first university focused on Design AI, SUTD is pioneering a new kind of practitioner – one who is AI bilingual, fluent in both their domains and AI.

Design begins with people. It asks not just what technology can do, but what people actually need, value, and experience. And this question cannot be answered by any single discipline alone.

Design AI carries this principle forward. A designer who is also AI-fluent brings a new dimension to the craft. They can assess what AI can realistically deliver and ensure the right guardrails are in place. When domain knowledge and AI capability work together in this way, we can build solutions that truly improve lives and guard against potential harms.

And if we want AI to serve the public good, it must also make space for every person, not just those who are easiest to design for.

SBS Transit's Project SiLViA shows what this can look like.

For the Deaf and Hard-of-Hearing community, everyday travel becomes much harder when important announcements are not accessible.

Powered by AI, SiLViA helps address this through real-time, two-way sign language communication. It translates announcements into sign language, and commuters can also sign to it and receive a response.

What makes this project especially meaningful is that it was shaped not just by technology, but by empathy and close collaboration. The team engaged the Deaf community, interpreters, and frontline staff. They worked closely with the Singapore Association for the Deaf to ensure that the system reflects the linguistic and cultural nuances of Singapore Sign Language.

When technology is built with that kind of care, it reminds us of something important. Being differently abled is a different way of experiencing the world. These are perspectives to design with. And with AI, we can move closer to a world where everyone can participate fully, in their own way.

Today, we have seen what is possible when AI meets purpose.

Companies of all sizes, finding new ways to work smarter and reach further.

Design practitioners asking harder questions, and arriving at solutions that better our world, that no single discipline could have found alone.

Even though the projects showcased today tackle very different challenges, I believe they tell the same story. They are about ensuring that technology serves people. The work of our finalists is proof that this is possible.

To everyone in this room today, whether you lead a startup, a large enterprise, or the next generation of designers and engineers, carry this spirit forward. Use AI with ambition. Use it with care. But above all, use it for people.

To our finalists, congratulations once again. Your work inspires us and points the way forward. Thank you.