MDDI 演讲稿 · 2024-08-22

部长 Josephine Teo 在新加坡电脑学会 Tech3 论坛上的演讲

部长 Josephine Teo 在新加坡电脑学会 Tech3 论坛上的演讲

Josephine Teo · 数码发展及新闻部长 · 新加坡电脑学会 Tech3 论坛

要点

  • 新加坡于2023年12月发布《国家人工智能战略2.0》(NAIS 2.0),确立「为公众利益服务的AI」愿景,并于2024年1月在达沃斯启动《生成式AI模型治理框架》国际咨询。
  • DBS银行已部署逾600个AI/ML模型、300项用例,实现约1.8亿新元的经济价值,是本地AI商业应用的标杆案例。
  • 新加坡资讯通信媒体发展局(IMDA)与SkillsFuture将更新《资讯通信技术技能框架》,纳入生成式AI技能,为各领域专业人士提供技能升级路径。
  • 为扩大合资格培训师来源,新加坡电脑学会将联合成人学习学院推出加速认证途径,培训时长从88.5小时压缩至40小时以内。
  • 16个行业已制定《职位转型地图》(JTMs),协助数百种岗位的从业者了解AI对所需技能的具体影响,并指引转型方向。
  • 新加坡电脑学会将与广告营销协会及电影专业人士协会合作,为创意行业专业人士策划AI工具应用研讨会及工作坊,IMDA将通过TechSkills Accelerator计划提供支持。

完整译文(中文)

MDDI 英文原文译文 · 翻译日期: 2026-06-21

部长Josephine Teo在2024年8月22日新加坡电脑学会(SCS)Tech3论坛上的演讲

新加坡电脑学会会长Sam Liew先生、各位贵宾、同事与朋友们

引言

早上好,感谢再次邀请我出席SCS Tech3论坛。

我记得去年在这同一个宴会厅,当天正是总统选举的投票日。鉴于贵会在选择吉日方面的记录,我在接受今年邀请时不禁想到,8月22日会不会又是另一个具有重要政治意义的日子。

幸好,总理黄循财已于周日晚间在国庆群众大会上向我们发表了讲话。大家都知道,他强调了我们在规划新加坡前进道路时,既要大胆进取,也要审慎稳健。

确实,在致力发展新加坡人工智能生态系统的过程中,我们采取了同样大胆进取、审慎稳健的方式。去年12月,总理发布了更新后的国家人工智能战略,即NAIS 2.0,阐明了我们认为有助于实现"AI为公共利益服务"这一愿景的关键推动因素,造福新加坡与世界。

次月,在达沃斯世界经济论坛上,我启动了针对生成式人工智能《模型治理框架》的国际咨询工作,彰显了我们在推动人工智能应用的同时,对确保人工智能安全的高度重视。

过去几个月,我们推出了更多举措——从研究项目、奖学金和人才引进计划,到通过产业主导的卓越中心打造人工智能新高峰。在扩大算力的同时,我们正投资于新的绿色基础设施。通过与美国和中国的合作,我们旨在加强获取人工智能专业知识的渠道,并推动互操作标准的建立。

我们正稳步构建新加坡的人工智能生态系统,并在国际上赢得广泛关注。更重要的是,我们看到了有意义的人工智能应用不断涌现,有时还出现在我们最意想不到的领域!

例如,上周末我出席了"Build for Good"加速器项目的颁奖典礼。该项目是政府科技局(GovTech)旗下开放政府产品(OGP)团队发起的倡议。许多人都知道OGP是我们的"特种部队",是当今驱动数字政府运转的诸多最成功数字产品和服务的幕后推手;"Build for Good"则是OGP的"特别项目",旨在让公民参与共同创造。其中一个项目将机器学习应用于从武吉知马自然保护区采集的音频录音,以识别特定鸟类。这看似不起眼,但无论从技术难度还是对自然保护人士的价值而言,都意义重大。若无法准确辨别鸟类种类并估算其数量,任何环境影响评估都无从完成。那么,开发这一最小可行产品(MVP)的是谁呢?实际上是两名来自新加坡国立大学(NUS)的学生,他们在数月前的一场黑客马拉松中结识了三名陆路交通管理局(LTA)工程师,发现彼此对自然有着共同的热情。

还有更多像这样善用人工智能和机器学习(ML)解决现实问题、改善市民生活的人和项目。与此同时,商业应用也在不断增长。以DBS为例,该行已开发超过600个AI/ML模型和300个应用场景,创造了1.8亿新元的经济价值。

随着人工智能应用的不断深化,我们在AI安全方面也取得了进展。为帮助各组织评估AI模型和应用程序的人工智能风险,我们开发了名为AI Verify的测试框架和软件工具包;通过Project Moonshot,我们将AI Verify的工作延伸至生成式人工智能领域。

上个月,我们发布了一套面向生成式AI模型开发者和应用部署者的《安全准则》。我们还大力推动隐私增强技术的使用,这对于确保持续获取优质数据以用于人工智能开发至关重要。

我感谢SCS积极为AI安全作出贡献,并对Sam刚刚宣布的《人工智能伦理与治理知识体系2.0》的编制工作表示赞赏。这无疑是业界主导的有益补充,与政府推动负责任AI应用的努力相得益彰。

赋能广大群体

今天上午,呼应黄循财总理在国庆群众大会上关于政府支持终身学习的讲话,我想重点谈谈NAIS 2.0的一个方面——通过技能提升来赋能我们的人民。

许多有见地的观察人士指出,与其说是AI取代工人,不如说是具备AI能力的工人取代了缺乏AI能力的工人。换言之,与其说是"人类对抗AI",不如说将是"人类与AI协作"对抗"人类不用AI"。

这也是我和我的团队看待人工智能的方式。我希望你们也这样看待AI——不是将其视为裁员的机会,而是赋能员工的契机。

这也是我们希望支持整个劳动力做好AI准备的原因,而不仅仅是一小撮技术人员。换句话说,不是每个人都能像Max Maeder那样成为奥运奖牌得主,但人人都能、也应该学会欣赏某项运动。

据一些分析人士指出,新加坡人在人工智能方面的适应能力已相当出色:近日,来自初级学院和理工学院的年轻学生在首届国际人工智能奥林匹克竞赛中赢得了两枚金牌。

国际管理发展学院的世界数字竞争力指数,在对数字技术尤其是人工智能的适应态度方面,将我国列为全球第三。

根据毕马威(KPMG)和昆士兰大学的一项研究,新加坡人是全球职场中使用人工智能比例最高的群体之一。

一家前沿AI公司近日与我们分享,新加坡人是其生成式AI应用人均使用量最高的群体,领英(LinkedIn)的《工作的未来》报告也显示,我们仍是习得新AI技能速度最快的国家之一。

这些排名听起来很好,但请不要对此沾沾自喜!它们本身无害,除非让我们产生自满情绪。请记住:以人工智能发展的速度,我们在AI准备方面永远不可能做得太充分。这些排名至多告诉我们,我们的人民对拥抱人工智能充满热情。我们应在此基础上加以巩固,持续推动势头,凝聚各方努力,让这份热情转化为切实有用的成果。

其中一个办法是更新《信息通信技术(ICT)技能框架》。该框架由IMDA和新加坡技能创前程局(SkillsFuture Singapore)于2016年首次推出。该框架如同一张地图,提供信息通信技术领域现有及新兴技能、相关职位和职业发展路径等关键信息。我们将更新这一框架,纳入生成式AI技能。这将为各领域专业人员提供宝贵资源,帮助他们了解充分运用生成式AI所需掌握的新技能。我们已着手与主要行业参与者、行业协会及高等学府展开咨询,以确保更新后的框架与其需求相匹配。

我们还将扩大合资格培训师的队伍。他们至关重要,因为他们担任导航者,帮助学员识别技能差距,规划下一步发展方向。

目前,在提供经SkillsFuture批准的课程之前,培训师需取得劳动力技能资历(WSQ)学习与绩效高级证书。这一资格需要耗时88.5小时、历时三个月方可取得,对于全职培训师来说尚可接受,但对于兼职提供培训的行业从业者而言则不切实际。

我们将缩短具备相关行业知识的从业者取得培训师资格所需的时间。正如Sam此前提到的,通过与IMDA和SkillsFuture Singapore的合作,新加坡电脑学会将与成人学习学院合作,推出一条加速路径,耗时40小时,不到原来时长的一半。这条加速路径将向行业从业者开放,使更多从业者具备教授与我国信息通信技术技能框架对应课程的资格。IMDA和新加坡电脑学会将尽快与这些从业者取得联系。

针对性技能提升,发挥最大效益

除了赋能广大基础群体,我们还将帮助我们的人才在各自专业领域掌握与AI相关的技能,从而取得成功。

我们已在16个行业推出了职位转型地图(Jobs Transformation Maps,简称JTM),涵盖数百种职位,帮助各岗位人员了解技术对其所需技能的影响。

例如,会计业的JTM将AI定位为革命性技术,同时也视其为审计人员检测异常、生成深度洞见的"得力助手"。该地图建议金融取证领域的专业人员提升技能,以应对更复杂的案件、协助客户预防欺诈,而不仅仅是在事后进行调查。它甚至指出,其中已具备数字取证知识的专业人员可以转移技能,转型至"道德黑客"等新兴职位!

每个领域的专业人员都需要借助帮助来掌握AI等数字技术。这包括创意行业的专业人员,如平面设计师、市场营销人员、电影制作者、艺术家和作家。他们多年来精心磨练自身技艺。技术应当增强而非削弱他们的才能与贡献。

我们已开始看到越来越多的创意专业人员将AI转化为自身优势。近期,一家广告公司向MDDI提案时,使用了由Midjourney生成的视频,以及由Runway公司开发的另一款工具Gen-3 Alpha。这段AI生成的视频汇集了该公司创意专业人员的过往作品,生动呈现了故事板内容。这段视频让我们的讨论更具成效——我们可以就细节展开探讨,例如背景音乐如何与各场景配合、是否与所提议的光线层次相协调,以及视频中所描绘人物的面部表情等。若没有生成式AI,制作这样一段"草稿"视频的成本将高得难以承受。作为甲方,我们认为,这家公司所制作的视频能够如此有效地传达其创意概念,使其占据了明显优势——这正是"有AI加持的人"与"没有AI加持的人"之间差距的体现。

创意专业人员还可以在日常工作中运用AI,无论是逐字检查脚本中的错误,还是加速繁琐的照片和视频内容校正流程。事实上,NTUC Learning Hub报告指出,市场营销专业人员是利用AI分析数据和优化内容的最积极用户之一。

因此,我非常高兴地注意到,新加坡电脑学会正与新加坡广告与营销协会(Association of Advertising and Marketing Singapore)及新加坡影视专业协会(Singapore Association of Motion Picture Professionals)携手合作。他们将为创意专业人员策划研讨会和工作坊,帮助其充分利用AI驱动工具等数字技术。这进一步拓展了该学会已与会计、银行与金融及物流等其他行业相关协会建立的现有合作关系。与此前一样,IMDA将通过TechSkills Accelerator计划提供支持,推动各行业专项数字技能提升。

结语

我希望已传达出我们在新加坡数字发展进程中如何以大胆而审慎的态度发展AI生态系统的理念。我们正稳步超越炒作阶段。随着时间推移,我们越来越多地看到AI在多个行业和机构中提升工作方式的有力证据。我们也看到许多致力于将AI用于公共利益的热切努力。随着我们在这些应用场景中积累经验,也将不断加深对风险的认识。这将有助于我们为AI安全设计更强有力的防护机制,维护对创新与实验至关重要的信任环境。

在所有这些努力中,我们衷心感谢新加坡电脑学会一贯坚定的支持,并期待双方持续深化合作。

感谢你们始终积极进取的精神。祝各位大会圆满成功。

英文原文

MDDI 官网原始记录 · 抓取日期: 2026-06-21

SPEECH BY MINISTER JOSEPHINE TEO AT THE SINGAPORE COMPUTER SOCIETY (SCS) TECH3 FORUM ON 22 AUGUST 2024

Mr Sam Liew, President of the Singapore Computer Society, Distinguished Guests, Colleagues and Friends

INTRODUCTION

Good morning and thank you for inviting me once again to join you for the SCS Tech3 Forum.

I remember being here last year at this very ballroom, and it was polling day for the Presidential Election. Given your track record at picking an auspicious date, I wondered when I accepted your invitation this year whether 22 August would turn out to be another politically significant day.

Fortunately, Prime Minister Lawrence Wong has already addressed us on Sunday night at the National Day Rally. You will be aware that he emphasised the need for us to both bold and prudent as we chart our way forward for Singapore.

And indeed, in seeking to develop the AI ecosystem in Singapore, we have taken a similar approach of being bold and prudent. In December last year, PM launched the refreshed National AI Strategy, or NAIS 2.0, setting out the key enablers that we believe will help us to realise the vision of AI for the Public Good, for Singapore and the world.

The following month, at the World Economic Forum in Davos, I launched international consultations for our Model Governance Framework for Generative AI which underscores the importance that we place on ensuring AI safety, even as we promote AI adoption.

In the past few months, we have introduced more initiatives – from research programmes, scholarships and talent attraction schemes to growing new peaks of excellence in AI through industry-led centres of excellence. As we expand compute capacity, we are investing in new and greener infrastructure. Through our partnerships with the US and China, we aim to strengthen access to AI expertise and promote inter-operable standards.

We are steadily building up the AI ecosystem in Singapore and gaining mindshare internationally. More importantly, we are seeing meaningful AI applications appear, sometimes in areas we least expect!

For example, last weekend, I was at the finale of the Build for Good accelerator programme, an initiative by the Open Government Products (OGP) team within GovTech. Many of you know OGP as our “special forces” behind some of the most successful digital products and services that power our digital government today; “Build for Good” is OGP’s “special project” to involve citizens in co-creation. One project applied machine learning to audio recordings collected from the Bukit Timah Nature Reserve to detect specific bird species. This may not seem like a big deal, but it is, both in terms of a technical difficulty, as well as its value to conservationists. Without the ability to correctly identify bird species and estimate their numbers, no environmental impact assessment is complete. Now, who were the people who developed the MVP? They were in fact, two students from NUS who met three LTA engineers during a Hackathon only a few months ago and discovered that they shared a common passion for nature.

There are many more people and projects like this that make good use of AI and Machine Learning (ML) to solve real-world problems and improve citizens’ lives. At the same time, commercial applications are growing. DBS, for example, has already developed more than 600 AI/ML models and 300 use cases, delivering economic value of S$180 million.

Along with greater AI adoption, we are making progress in AI safety. To help organisations evaluate AI models and applications for AI risks, we developed a testing framework and software toolkit called AI Verify; through Project Moonshot, we extended our work on AI Verify into Generative AI.

Last month, we introduced a set of Safety Guidelines for Generative AI Model Developers and App Deployers. We also gave a bigger push to the use of privacy-enhancing technologies, which are critical to ensuring continued access to good quality data for AI development.

I thank SCS for your active contributions to AI safety and commend you for putting together the AI Ethics and Governance Body of Knowledge 2.0 that Sam has just announced. It is certainly a useful industry-led complement to the Government’s efforts to promote responsible AI use.

EMPOWERING THE BROAD BASE

This morning, in line with what PM Wong had said at the National Day Rally about Government’s support for lifelong learning, I want to focus on one area of NAIS2.0 – that of empowering our people through skills upgrading.

Many thoughtful observers have pointed out that it is not so much AI displacing workers, but AI-proficient workers displacing AI-deficient workers. In other words, rather than “Humans vs AI”, it is going to be “Humans with AI” vs “Humans without AI”.

This is the way my team and I think of AI. And I hope it is how you think of AI too – not as a chance to get rid of people, but as an opportunity to empower people.

This is also why we want to support the entire workforce to be more AI-ready, and not just a narrow group of technologists. Put another way, not everyone can be an Olympic medallist like Max Maeder, but everyone can and should learn to enjoy some sports.

According to some analysts, Singaporeans are already quite AI-fit: Recently, young students from junior colleges as well as polytechnics won two gold medals at the first International Olympiad in AI.

The World Digital Competitive Index by the International Institute for Management Development ranks us third in our adaptive attitudes towards digital technology, particularly towards AI.

According to a study by KPMG and the University of Queensland, Singaporeans are amongst the highest users of AI in the workplace globally.

A frontier AI company recently shared with us that Singaporeans are the highest per capita users of their generative AI application, and LinkedIn’s Future of Work report says we are still one of the fastest in acquiring new AI skills.

These rankings sound great but please take them with a pinch of salt! They are not harmful, except if they make us complacent. Remember this: at the rate that AI is advancing, we can never be too AI-ready. If anything at all, they tell us that there is enthusiasm among our people to embrace AI. We should build on it, grow the momentum and align our efforts so that the enthusiasm translates into something useful.

One way of doing so is by updating the Skills Framework for Infocomm Technology (ICT), which IMDA and SkillsFuture Singapore first launched in 2016. The Framework works like a map, providing key information on existing and emerging skills in ICT, as well as the relevant job roles and career pathways. We will refresh this framework to incorporate generative AI skills. This will provide professionals across all fields with a valuable resource on the new skills needed to get the most out of generative AI. We have started consultations with key industry players, industry associations and the Institutes of Higher Learning to ensure that the updated Framework is aligned with their needs.

We will also expand the pool of qualified trainers. They are important because they serve as navigators, helping learners to identify their skills gaps and map out their next steps.

Today, before they can deliver SkillsFuture-approved programmes, trainers need to attain the Workforce Skills Qualifications (WSQ) Advanced Certificate in Learning and Performance. This takes 88.5 hours over three months, which may be alright for a full-time trainer but is impractical for industry practitioners providing training on a part-time basis.

We will shorten the time it takes for practitioners with relevant industry knowledge to qualify as trainers. As earlier mentioned by Sam, in partnership with IMDA and SkillsFuture Singapore, the Singapore Computer Society will collaborate with the Institute for Adult Learning on an accelerated pathway that will take 40 hours, or less than half the previous duration. This accelerated pathway will be open to industry practitioners and qualify more of them to teach courses mapped to our Infocomm Technology Skills Framework. IMDA and the Singapore Computer Society will reach out to these practitioners soon.

TARGETED UPSKILLING FOR MAXIMUM IMPACT

Besides empowering the broad base, we will equip our people to succeed with AI-related skills in their respective fields of expertise.

We already have Jobs Transformation Maps, or JTMs, in 16 sectors that help individuals in hundreds of job roles understand the impact of technologies on the skills required of them.

For example, the JTM for Accountancy identifies AI as a revolutionary technology but also considers it a “valuable ally” for auditors to detect anomalies and generate deeper insights. It advises professionals in Financial Forensics to upskill to solve more complex cases and help clients prevent fraud, rather than just investigate after something bad has happened. It even suggests that those amongst these professionals who already have knowledge of digital forensics can transfer their skills and pivot to new job roles like “Ethical Hacking”!

Professionals in every domain will need help to master digital technologies such as AI. This includes professionals in the creative industries, such as graphic designers, marketers, film makers, artists, and authors. They have spent years honing their craft. Their talents and contributions should be enhanced, not diminished, by technology.

We have started to see more of our creative professionals use AI to their advantage. Recently, an advertising firm made a pitch to MDDI using a video generated by Midjourney, and another tool called Gen-3 Alpha developed by the company Runway. This AI-generated video drew on the past works done by the firm’s creative professionals and vividly conveyed the storyboard. The video made our discussions much more productive – we could talk about details like the music, how it should go with various scenes, and whether they work with the lighting levels that were proposed. And also, what were the facial expressions of the characters depicted in this video. Such a “draft” video would have been too costly to produce without Generative AI. From our perspective as the client, the fact that this particular firm had produced a video that so much more effectively conveys their concept put them at an edge, and that is what is meant by “Humans with AI” vs “Humans without AI”.

Creative professionals can also use AI in their everyday work, whether to scrub through scripts for errors, or to speed up the laborious process for correcting photo and video content. In fact, NTUC Learning Hub reports that marketing professionals are among the most avid users of AI to analyse data and optimise content.

This is why I’m very pleased to note that the Singapore Computer Society is partnering the Association of Advertising and Marketing Singapore, and the Singapore Association of Motion Picture Professionals. They will curate seminars and workshops to help creative professionals make the most of digital technologies such as AI-powered tools. This expands the existing partnerships the Society already has with relevant associations in other sectors such as Accounting, Banking & Finance, and Logistics. As in the past, IMDA will provide support through the TechSkills Accelerator programme to promote sector-specific digital upskilling.

CONCLUSION

I hope I have conveyed some sense of how we intend to be bold yet prudent in growing the AI ecosystem in Singapore, as part of our digital developments. We are steadily moving beyond the hype. With each passing day, we see more and more evidence of AI enhancing the way we work across multiple industries and organisations. We also see many enthusiastic efforts to use AI for the public good. As we gain experiences in these use cases, we will also improve our understanding of the risks. This will help us design stronger guardrails for AI safety, to uphold an environment of trust that is essential for innovation and experimentation.

In all of these efforts, we deeply appreciate the Singapore Computer Society for your steadfast support, and look forward to our continued partnership.

Thank you for always leaning forward. I wish you all a fruitful conference.