MDDI 演讲稿 · 2025-05-19
陈杰豪高级政务部长在设计 AI 与科技奖 2025 上的演讲
Speech by SMS Tan Kiat How at Design AI and Tech Awards 2025
要点
- • 首届「Design AI and Tech Awards」（设计 AI 与科技奖）。两个核心概念：「Design in AI」（让 AI 直观、安全、贴合人类思维）+「AI in Design」（让 AI 拓展创造力的边界）。
- • 案例：EmpathIQ（SUTD × 陈笃生医院的对话式 AI 医护反馈助手）；AUROMA（SUTD × 欧莱雅的 LLM 香水推荐助手）；LionsBot 清洁机器人；SBS Transit「Project 6Sense」让地铁可靠性达到 800 万 MKBF。
- • 2024 年仅一年——近 3,000 家 SME 采用了 AI 加持方案；DBS 调研显示近 3/4 的 SME 计划投资生成式 AI——并打算同步升级员工。
- • 去年 9 月启动首个行业级 AI 卓越中心（制造业）——A*STAR + 高校 + 产业，已有 10 多家大企业上车。
- • 工具栈：CTO-as-a-Service（300+ 预审方案，近 1/3 AI 加持，2024 年支持 33 万+ 用户）+ SMEs Go Digital（自 2017 年惠及 10 万 SME）+ GenAI Navigator + GenAI Playbook。
- • 教育：2024 年 IDT（信息与数字技术）专业约 8,000 名学生入读（占总队列 17%）；大学 IDT 名额从 2020 年 3,000 升至今年 4,000——占新加坡学位名额 1/4 以上。TeSA 自 2016 年支持 30 万+人提升技能、对接 19,000+ 本地人进入科技岗位。
完整译文（中文）
MDDI 英文原文译文 · 翻译日期：2026-05-03
新报业媒体（SPH Media）首席执行官 Chan Yeng Kit 先生，
新加坡科技设计大学（SUTD）校长潘国权教授，
各位女士、先生：
早安。我很高兴出席首届「Design AI and Tech Awards」（设计 AI 与科技奖）——它表彰用心思考的设计与前沿技术结合，以有意义的方式解决真实世界挑战。
这次活动在 SUTD 举办尤其合适。
SUTD 是世界上首所专注于「Design AI」的大学。通过新的学术项目与产业合作——SUTD 在重新构想「如何培育下一代创新者」——他们能借助 AI 支撑「以人为中心」的技术。
学生作品里这种「目的导向式创新」的精神——通过两个不同的概念得到体现：
第一是「Design in AI」（设计于 AI 之中）——让 AI 直观、安全、与我们思考、工作、生活的方式对齐。
「EmpathIQ」是个好例子。SUTD 学生与陈笃生医院合作，设计了一款对话式 AI 助手——帮助医护更好地管理员工反馈。这款工具能解读语气与语境——让互动更具共情、更有响应。
第二个概念是「AI in Design」（AI 在设计之中）——探索 AI 如何拓展创造力的边界。
「AUROMA」是 SUTD 学生与欧莱雅（L'Oreal）共同开发的智能香水助手。这套系统用大语言模型理解用户偏好——推荐个性化香水——交付更直观、更定制的体验。
这些例子反映了我们看到的更宏观的转变——「设计让 AI 更人性、AI 把设计推得更远」。
「Design AI 与科技奖」希望表彰这种「目的导向的创新」。
致所有入围者：恭喜！
你们走过了一个高度竞争的过程。
我期待更深入了解你们的工作——以及你们如何把 AI 与设计结合起来——为我们身边的世界打造有意义的方案。
我们也看到——越来越多公司把 AI 视为「成长与转型的实操工具」。
其中许多已超越「实验」阶段——把 AI 部署到日常运营中。
我也很高兴中小企业（SME）也是这一趋势的一部分。
在 GenAI Sandbox 等举措、以及面向 SME 的 Microsoft Copilot、Gemini for Google Workspace 等工具的支持下——更多 SME 正在拥抱 AI。
仅 2024 年——就有近 3,000 家 SME 采用了 AI 加持的方案。
从用 AI 预测需求的本地零售商，到优化菜单、减少浪费的餐饮运营商——
星展（DBS）最近的一项调研也发现——近 3/4 的 SME 计划投资生成式 AI——并同样比例地打算为员工升级技能、把它用足。
在今年的入围作品中——我们看到许多 AI 与设计结合解决真实问题的例子。
比如 LionsBot——他们设计的 AI 加持清洁机器人——减轻了体力负担——同时提供直观的控制与用户体验。这回应了行业里非常真实的挑战——也对年长员工是利好——让他们在更年长时也能继续工作。
另一个是新捷运（SBS Transit）的「Project 6Sense」。这一 AI 加持的仪表盘——整合来自整张铁路网络的数据——给运营方一个列车健康的实时视图。它通过早发现问题、引导预防性维护——帮助降低延误、提升可靠性——目前 Downtown Line（地铁市中心线）的「平均故障间隔里程」（MKBF）已达到 800 万——这是公认的可靠性度量。这是一个很好的例子——「设计良好的系统能改善公共服务结果与通勤者的日常体验」。
我们想看到更多这样的「规模化影响」。这意味着我们要持续加强支撑它的生态——从底盘到每一个行业。
几乎没有哪家公司能单干。
但我们能通过创建一个有活力的生态——给公司与发明者提供「测试空间、合适的合作伙伴、规模化的支持」——来解锁新的可能。
政府正在主动支持这一生态——不仅惠及创新者，也惠及包括 SME 在内的所有企业。
第一——我们支持「行业级转型」——把整个行业一起拉起来。
因此我们正在设立「行业级 AI 卓越中心」（Sectoral AI CoE）——把公共部门、研究者、产业玩家聚到一起——共创能在整条价值链上规模化的方案。
去年 9 月——我们启动了第一个「制造业行业级 AI CoE」。
它把 A*STAR、我们的高等教育机构、产业伙伴聚到一起——共同开发预测性维护、由生成式 AI 与机器学习驱动的质量保证等方案。已经有 10 多家大企业上车——测试与规模化这些用例。
展望未来——我们也预期 AI 会改造设计行业——不只是「更好的工具」，而是塑造我们「如何创造、协作、解决问题」。所以我期待看到更多「Design in AI」与「AI in Design」的应用。
与此同时——我们也在支持公司（尤其是 SME）采用 AI。所以我们不只支撑生态的供给侧——也通过降低门槛与上手难度——帮助公司「把 AI 用得更好」。
我们大多人都知道——SME 不一定有专属的科技团队，或者没时间试用新工具。所以——他们怎么决定从哪里开始、聚焦哪些用例、用哪些工具？
这就是「CTO-as-a-Service」平台登场的地方——它提供 300 多个预先核准的数字方案——其中近 1/3 是 AI 加持的。
仅 2024 年——这一平台支持了超过 33 万名用户，并帮助近 3,000 家 SME 采用 AI 来增强运营、改善客户服务、做出更明智的决策。
与之互补的是「SMEs Go Digital」项目——自 2017 年起惠及近 10 万家 SME——让他们以自己的节奏数字化、获得契合需求的工具。
这些项目支持终端用户——企业与 SME——让他们更容易采用数字方案与 AI。但我同样把它视为对创新者的支持——如果你有一个解决行业真实问题的好方案——这些项目能帮你在更多客户中规模化。
我也很高兴——这些项目里许多方案与技术供应商，都是有好想法的本地初创。所以——别只把这些项目当作「支持终端用户」——它们也是创新者触达新市场分段、在新加坡（也希望走出新加坡）快速规模化的通道。
我们也在帮助公司采用新兴技术——尤其是生成式 AI。
最近我们启动了「GenAI Navigator」——提供 SME 可以试用与学习的用例、模板、精选工具；以及——
「GenAI Playbook」——一份实务指南——带企业走过「自建 vs 购买 AI 方案」的利弊，以及如何评估自身「往前走」的准备度。
今早最后我想谈一谈——无论是设计还是 AI——最重要的一部分。它不是技术——它是「人与才」。工具与支持只能带我们走到一定地步。
每一项突破的核心——都是一个人——拥有「想象 What if?」的能力——以及「把可能转为现实」的技能。
这一点对 AI 与设计尤其成立。AI 要被广泛采用——前提是系统设计得好——用户界面与用户体验自然契合既有工作流。这意味着——既要有人懂技术、也要有人懂用户与他们的需求。
这就是为什么——我们在投资具备这些技能与能力的人。
我们在管线两端都在「养」——因为工作不只在实验室或董事会开始——它从课堂开始、在培训中心继续、在每一个想要保持领先的工作场所中演绎。
在「就业前」环节——我们在「信息与数字技术」（IDT）专业上稳步扩招——以满足兴趣增长与产业需求。
2024 年——大学、理工学院、ITE 共有约 8,000 名学生就读 IDT 课程——约占总队列 17%。在大学层面——IDT 名额从 2020 年的 3,000 升至今年 4,000——目前占新加坡学位名额的 1/4 以上。
在 SUTD——「建筑与可持续设计」「工程产品开发」等学派与项目的学生——被训练把 AI 作为「伙伴」而不只是「工具」。这是一个清晰的例子——大学如何让 AI 在科技内外的各领域都变得可获得、务实、相关。
我们也通过「TechSkills Accelerator」（TeSA）等举措支持持续学习。自 2016 年启动以来——TeSA 已支持超过 30 万人获得新技能——从 AI 与数据分析到软件工程与网络安全——并帮助超过 19,000 名本地人进入科技岗位。
我们看的也不只是科技行业——我们也在帮企业与员工为变化做准备。
正如盛港综合医院团队前面提到的——重点是把这些技能嵌入每一位员工、每一个工作场所。
我们的「工作转型地图」（JTM）涵盖物流、人力资源、金融等行业——为「角色如何演化、如何跟上节奏」提供清晰、务实的指引。
归根结底——我们希望每一位新加坡人——无论是学生、中职专业人士还是企业主——都能对自己在「AI 驱动的未来」中的位置有信心。
因为技术只能走到「我们的人准备好把它带去的远方」。
所以——我以再次祝贺所有入围者来收尾。我享受阅读各位项目的介绍、聆听各位的演讲。
你们已经证明——当我们投资于「好的设计、坚实的合作、了不起的人」——我们就能解锁 AI 的全部承诺。
致在场的所有人——这是一个我们走到一起、建立连接、彼此学习的机会。希望今天之后——你们能从我们看到的想法与创新中获得灵感——并感到有能量加入我们正在新加坡构建的这个充满活力的生态——不只是为了「这个小红点」，而是能投射到我们的海岸之外。
「Design AI 与科技奖」提醒我们——设计与技术携手——能创造既前沿又扎实、值得信赖、以人为核心的方案。
这就是我们如何确保 AI 持续成为「为所有人服务的善的力量」。
非常感谢。
英文原文
MDDI 官网原始记录 · 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.