MDDI 演讲稿 · 2026-04-15

Rahayu Mahzam 政务次长在 2026 Design AI and Tech Awards 上的演讲

Speech by MOS Rahayu Mahzam at the Design AI and Tech Awards 2026

Rahayu Mahzam · MDDI 政务次长 · 2026 Design AI and Tech Awards

要点

  • AI 普及已不再是「要不要用」的问题,而是「怎么用」——用得有意义、能驱动生产力、创新与转型。
  • 大企业(如现代汽车 HMGICS)将 AI 深度嵌入工作流,AI-native 初创(如 H3 Zoom AI)则围绕 AI 重新设计整个商业模式。两条路径都成立。
  • 数字经济报告显示:大企业 AI 采用率从 44.0% 升至 62.5%,中小企业从约 5% 升至 14.5%(三倍)。
  • AI 越强,设计师的人文判断越值钱——情境、文化、伦理、利益相关方协调。最强的设计师是「设计 + AI 双语者」。
  • SUTD 的 Design AI、SBS Transit 的 SiLViA 项目示范:技术若想服务公共利益,必须为最难被设计到的人群留出空间。

完整译文(中文)

MDDI 英文原文译文 · 翻译日期:2026-05-02

新加坡科技设计大学(SUTD)校长潘国权教授

新报业媒体(SPH Media)首席执行官陈永祥先生

SUTD 副校长、首席创新与企业事务长戴礼祥教授

《商业时报》总编辑陈惠芬女士

新加坡人工智能机构(AI Singapore)AI 产品高级总监 Leslie Teo 博士

Granite Asia 高级管理合伙人 Jenny Lee 女士

新加坡设计理事会执行总监 Dawn Lim 女士

各位女士、先生:

晚上好。感谢 SUTD 与《商业时报》的盛情邀请。很高兴出席第二届「Design AI and Tech Awards」(设计 AI 与科技奖)。

祝贺今年通过严格评审入围的所有团队——这是了不起的成绩,你们应当为此感到骄傲。

我也要感谢各位评委。你们来自学界、AI 研究、产业、媒体与设计领域,这种广度本身就反映了本奖项跨学科的精神。

这一奖项设立得正是时候。在新加坡,越来越多机构已经不再问「要不要采用 AI」,而是开始问「怎么用」。

如何把 AI 用得有意义——驱动生产力、创新与转型。

今年新增两个赛道,正是因为不同规模的公司都能从 AI 中获益。

《2025 年新加坡数字经济报告》显示出令人鼓舞的进展:大企业的 AI 采用率从 2023 年的 44.0% 提升到 62.5%,几乎上升 20 个百分点;中小企业则增长到三倍,达到 14.5%。

整个商业生态都在加速 AI 的采用。

不同规模的公司用 AI 的方式不同。大企业资源充足,能够大规模部署,把 AI 深度嵌入系统与工作流,带来转型级的变化。

以现代汽车集团创新中心新加坡(HMGICS)为例。

他们重新构想造车这件事时,不只是把 AI 当工具用——他们造了一种全新形态的工厂。没有传统的传送带,由 AI 协调 200 多台机器人在车间内动态移动,处理重复或潜在危险的工序,从而把人力释放出来去做更高价值的工作。

结果说明一切:物流与制造流程实现了近 70% 的自动化,交付周期与瓶颈环节减少超过一半。意味着运营更顺畅、扰动更少、周转更快。

效率之外,这种运营模式还带来了更激动人心的事情——电动车在新加坡本地生产,并以设计、技术与可持续性赢得国际认可。

中小企业与初创公司也在走自己的路。一些公司在既有业务里把 AI 用在某些高价值环节;另一些则更进一步,从一开始就围绕 AI 来构建整个商业模式。

H3 Zoom AI 就是「AI 原生」初创趋势的一个好例子。他们不是在巡检流程中插入 AI,而是围绕 AI 重新构想了整门生意。

传统的建筑外墙巡检又慢、又贵、又费人力,且高风险。H3 Zoom AI 的 Façade Inspector 平台把所有环节整合到一个系统里。

无人机远程采集建筑数据,AI 快速准确地识别缺陷。巡检员不再需要爬上高楼,安全风险消除,成本减半,巡检时间最多缩短 90%。

这就是「从第一天起就建立在 AI 之上」的含义——不是改良某一个环节,而是重新设计整个工作流,重新定义工作本身的形态。

政府将继续加大力度支持企业在 AI 之路上不断迈出下一步。我们在「全国 AI Impact 计划」下推出多项举措,鼓励更多企业迈出第一步,也帮助已经在用 AI 的企业更进一步。

面向准备深入推进的业务领导者,我们最近启动了「数码领袖加速训练营」(Digital Leaders Accelerator Bootcamp)。这是一项实操性课程,帮助领导者形成用 AI 转型业务的清晰路线图。首期已经报满,后续场次将陆续推出,专为帮助企业建立将 AI 解决方案规模化、解决真实业务挑战的信心。

「生产力解决方案补助」(Productivity Solutions Grant)现已扩展,覆盖更多数字与 AI 类工具,帮助企业以更低成本找到合适方案、跨出第一步。

无论你处在哪个阶段,支持都在那里。下一步要不要迈出,决定权在你。

接下来我想谈一件我认为同等重要、也许更贴近在座许多人内心的事。随着 AI 能力增强、应用普及,「做设计」这件事和「成为一名设计从业者」的含义都在改变。

AI 现已能在多个层面上有力地支持设计流程:加速市场调研、快速原型设计、可用性测试,也能扮演「创意副驾驶」帮助团队快速探索方向。过去要花几周的事现在能在几天甚至几小时内完成。于是有人会问:AI 最终会不会在设计流程中完全取代人?

这种变化让人觉得颠覆、甚至不安——这个我承认。但我相信:即便 AI 承担越来越多技术与生成性工作,设计中那些独属于人的部分会变得更有价值,而不是更少。

设计师带来视野,以及由真实生活经验塑造的判断力。他们理解情境——文化的、情感的、伦理的。他们做决策、把利益相关方对齐到共同目标上。最强的设计师,将是那些把深厚的设计专长与 AI 流利度结合起来的人,他们能解决更难的问题,交付真正服务于人的方案。

这正是今天这个奖项要展示的:最好的方案不是从一项技术或算法去找问题,而是从一个真实的问题出发,带着好奇心、创造力与关怀去解决它。

让我印象最深的,不只是入围团队做出了什么,更是他们背后的思考方式。我们如何让这种思考方式成为常态,而不是例外?

这就是 SUTD「Design AI」教学方向重要的原因。作为全球首所聚焦 Design AI 的大学,SUTD 正在培养一种新的从业者——「AI 双语者」,既精通自身领域,也通晓 AI。

设计始于人。它不只问「技术能做什么」,而是问「人真正需要什么、看重什么、体验到什么」。这个问题不能由任何单一学科独自回答。

Design AI 把这个原则向前推进。一位同时具备 AI 流利度的设计师,会为这门手艺带来新的维度。他能判断 AI 实际上能交付什么,并确保正确的护栏到位。当领域知识与 AI 能力以这种方式协作时,我们才能造出真正改善生活、防范潜在伤害的方案。

如果我们希望 AI 服务于公共利益,它就必须为每个人留出空间——而不只是那些「最容易被设计到」的人。

新捷运(SBS Transit)的 Project SiLViA 就是一个例子。

对失聪与听障群体来说,关键播报无法获取时,日常出行就变得极为困难。

SiLViA 由 AI 驱动,提供实时双向手语沟通:把广播翻译为手语,乘客也能用手语向系统表达并得到回应。

让这个项目特别有意义的是——它不仅由技术塑造,更由共情与紧密协作塑造。团队与失聪群体、手语翻译员与一线员工充分沟通,并与新加坡聋人协会密切合作,以确保系统能够呼应新加坡手语的语言与文化细节。

当技术以这样的关怀来构建时,它会提醒我们一件重要的事:与众不同地行动,是体验世界的另一种方式。这些视角是用来「一同设计」的。借助 AI,我们能更接近一个让所有人都能以自己的方式充分参与的世界。

今天,我们看到了 AI 与目的相遇时的可能。

不同规模的公司,找到了更聪明地工作、更远地伸展的方法。

设计从业者提出更难的问题,得到了任何单一学科都无法独自找到的、能让世界更好的答案。

今天展示的项目所应对的挑战各不相同,但我相信它们讲的是同一个故事:让技术服务于人。各位入围者的工作,正是这件事可行的证据。

致今天在场的所有人——无论你领导的是一家初创、一家大企业,还是培养下一代设计师与工程师——请把这种精神延续下去。带着雄心使用 AI;带着关怀使用 AI;最重要的是,为了人去使用 AI。

再次祝贺所有入围者。你们的工作启发我们,也指明了前进的方向。谢谢。

英文原文

MDDI 官网原始记录 · 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.