MDDI 演讲稿 · 2023-12-04

部长张仪龄在新加坡人工智能大会上的开幕致辞

部长张仪龄在新加坡人工智能大会上的开幕致辞

· 演讲者 · 新加坡人工智能大会

要点

  • 新加坡举办首届「新加坡人工智能促进全球公益会议」(SCAI),旨在建立国际智库,通过系统性提问塑造全球AI议程。
  • 新加坡以新生水(NEWater)为范本阐明其AI战略:1990年代向美国学习膜技术后,新生水目前供应该国最多40%的用水需求,新加坡以此说明其「向世界学习、也向世界贡献」的战略意图。
  • SCAI采用以中医整体论为喻的系统性视角,与Topos Institute(主席Ilyas Khan、首席执行官Brendan Fong博士)合作制定会议框架。
  • 部长张思乐明确点名AI的下行风险:算法偏见、大规模虚假信息与网络犯罪、就业替代、收益分配不均,以及自主AI代理可能对人类社会构成的生存性威胁。
  • SCAI定位为补充现有国际机制——包括联合国AI高级别咨询机构、G7广岛进程及英国AI安全峰会——专注于识别打通AI开发与部署路径的关键问题。
  • SCAI代表来自16个国家,涵盖产业界、风险投资、政府及非营利机构,其中四名代表同时担任联合国AI高级别咨询机构成员:Jaan Tallinn、Marietje Schaake、Alondra Nelson教授及会议主任何如敏博士。

完整译文(中文)

MDDI 英文原文译文 · 翻译日期: 2026-06-21

感谢各位拨冗莅临新加坡。

我和我的团队深知,在座许多人是怀着信任与期待,参加首届"新加坡人工智能造福全球大会"(SCAI)的。

如今以人工智能为主题的会议多如牛毛。新加坡举办属于自己的会议,究竟希望实现什么不同寻常、有意义的目标?为何这是一次值得您投入时间的活动?又是什么会促使您下次再来,并邀请志同道合的同事一同参与?

无论这些问题是否曾在您脑海中浮现,我们都认为有必要向您清晰阐明我们的意图。

首先,我想说,我们出发的立场是谦逊的——真诚地渴望学习,并坚定地相信我们必须有所贡献。

在我们希望就人工智能所学的一切之中,最重要的是学会提出正确的问题——即便这些问题最终可能是极为棘手、没有简单答案的难题。

在作为独立国家的短暂历程中,新加坡不得不面对许多艰难的问题——关乎生存、关乎自身价值,以及关乎民族团结。在寻求答案的过程中,我们深受国际专家真知灼见的惠益。

例如,荷兰经济学家阿尔伯特·温斯敏斯博士(Dr Albert Winsemius)自1960年起出任新加坡首席经济顾问,彼时新加坡刚脱离英国殖民统治不久。温斯敏斯博士力排当时盛行的传统观念,建议新加坡专注于吸引外资、发展制造业。

他的建议使新加坡受益良多。在为新加坡出谋划策近四分之一个世纪后,他于74岁时卸任。彼时,新加坡已跻身NIE之列——即新兴工业化经济体。

我提及温斯敏斯博士,是因为他是新加坡最受尊敬的挚友之一,我们极为珍视他的建议。同样,我们也将SCAI的各位代表视为受人尊重的挚友,感谢各位慷慨地分享建议。

然而,有一点重要的不同之处。

我们坚信,在人工智能领域,新加坡不仅能向世界学习,更能为世界作出贡献。

我们希望借助SCAI,为专家和思想领袖搭建一个汇聚交流的平台,分享知识与理念,促进国际合作——可以说,是一个智囊团。

这一愿景,也许最好地体现在我们的水资源故事中。

正如各位所知,水资源对新加坡而言是关乎生死存亡的问题。我们是一座小岛,集水区域十分有限。

过去,我们高达80%的用水依赖进口。1990年代,随着膜技术日趋成熟,我们派遣人员赴美国学习这项技术,以便将其用于水资源再生。这种再生水我们称之为"新生水"(NEWater),目前已可满足新加坡高达40%的用水需求。

借助新生水(NEWater)及海水淡化等其他技术,我们运用科技克服了这一生死攸关的难题。但我们并未就此止步,还主动分享经验,让其他国家和地区同样获益。

每年,我们举办"新加坡国际水周",邀请国际专家就水资源管理的理念与解决方案进行交流。我们推动水技术的持续创新,期望以此缓解全球水资源短缺问题。"李光耀水源荣誉大奖"每年颁发一次,以表彰在解决全球水资源挑战方面作出杰出贡献的个人或机构。

作为一种通用技术,人工智能与电力的类比更为常见,而非与水。

面对在座各位,我无需赘述人工智能在全球范围内成为向善力量的潜力。

关于人工智能在药物研发、个性化学习、能源优化及众多其他积极应用场景中的卓越表现,已有大量论述与实证。

其下行风险同样广为人知。人工智能系统存在缺陷,包括偏见与不准确性。它可能被不法分子利用,大规模制造虚假信息和网络犯罪。它还可能对人员和企业造成严重的替代冲击,且其带来的利益未必能在各国内部及国家之间得到公平分配。

自主运行的AI智能体,可能以有损人类社会利益的方式行事。若此情形真的发生——而没有任何理由认为它不会发生——那么人工智能对世界构成的生存威胁,将不亚于水资源问题对新加坡的生存威胁。

因此,在以开放态度拥抱人工智能创新的同时,新加坡同样致力于直面其风险。在这方面,我们也看到了作出贡献的机遇——通过一种与中医颇为相似的方法。

中医(TCM)在我们这一地区广泛施行,作为西医的补充。中医从业者将人体视为一个整合系统,其干预措施旨在恢复平衡、实现健康。

中医的一种疗法是针灸,即将细针刺入人体的特定穴位,目的是刺激"气"(即能量)运行的经络,以促进整个机体有益、健康的气血流通。

如果您从未尝试过针灸,或对我所说的内容感到困惑,我们已安排一位针灸师在明天全天为大家服务。若您感到迷茫,或只是出于好奇,不妨报名参加30分钟的体验,或许能帮助您豁然开朗。就当这是我们为助您在新加坡"感受流动"所做的一份贡献!

正如中医从业者通过系统性方法追求整体健康,系统导向或许也是审视我们应对人工智能机遇与风险的策略和努力时最为稳健的方法。

因此,我们以系统导向为核心召集了SCAI。我们衷心感谢Topos Institute的合作,并在此特别感谢其主席Ilyas Khan和首席执行官Brendan Fong博士,感谢二位在塑造我们会议议程方面所展现的严谨学术精神。

我们满怀希望,期待这次聚会能够远离当今人工智能会议中常见的喧嚣与浮华,找到我们集中努力的战略要点,同时思考我们与后代共同身处的整个系统。

我们相信,如此一来,我们在人工智能发展中达成新平衡的可能性将更大。

具体而言,我们未来几天共同的目标,是找出人工智能领域的关键问题——这些问题一旦得到系统性解答,将使人工智能真正服务于全球福祉。提出正确的问题,才能让我们更接近所需的答案。

这正是世界几乎消灭天花、禁止氯氟烃(CFCs)以及研发新冠疫苗的方式。但这些问题的表述必须尖锐而具体——如针一般精准。

两周前,我出席了普林斯顿大学候任助理教授 Lydia Liu 博士的演讲,她介绍了自己关于公平机器学习延迟影响的研究。值得一提的是,她的研究荣获2018年国际机器学习大会(International Conference on Machine Learning)最佳论文奖。这是继2017年许邦威博士(Dr Koh Pang Wei)之后,新加坡人连续第二年以第一作者身份摘得该奖项。邦威今天也作为 SCAI 代表出席了本次大会。

Lydia 的研究表明,应用常见的算法公平性标准——例如将信用评分作为贷款审批依据——未必能在长期内为人们带来公平的结果。相反,要产生切实的正面影响,必须超越纯粹的理论,同时考量系统动态与交互效应。我认为她的结论非常深刻。Lydia 那种超越泛泛而论、追求实际目的的精神,正是新加坡的基因所在。

同样,为使 SCAI 真正发挥作用,我们希望在原则宣言的基础上,以具体方式深化对话。我们的目标是系统性地聚焦于我们希望实现的成果,梳理当前技术前沿,勾勒有望取得突破的路径,并阐明衡量进展的方法。

未来三天,我们能否成功找出一批尖锐、扎实的 SCAI 问题,从而有助于塑造全球人工智能议程?我们尚无把握。SCAI 是一场实验,我们将在过程中共同学习。

但我们知道,我们必须尝试,因为人工智能时代太过重要,不容我们在懵懵懂懂中走进去。尤其是作为一个小国,受制于劳动力规模,人工智能作为力量倍增器的潜力大有可为——前提是我们也能有效帮助国民适应这一变化。

与此同时,人工智能是一种任何国家都无法阻止其越境而入、也无法阻止其影响渗透本国社会的技术。

在跨境议题上,新加坡长期以来坚信国际合作的必要性。正因如此,我们积极参与并偶尔发挥领导作用,例如在《联合国海洋法公约》(UN Convention of the Law of the Sea)、世界知识产权组织(World Intellectual Property Organization)、网络安全开放式工作组(Open-Ended Working Group on cyber-security)以及小国论坛(Forum of Small States)中。

新加坡人工智能造福全球大会(Singapore Conference on AI for the Global Good)是我们的最新努力。SCAI 与其他倡议形成互补,例如联合国人工智能高级别咨询机构(UN HLAB)、G7 广岛进程(G7 Hiroshima Process)、英国人工智能安全峰会(UK AI Safety Summit)及其即将发布的《科学现状报告》(State of the Science Report)。这些倡议聚焦于人工智能的治理、风险防范,以及如何将人工智能应用于解决气候变化等全球性问题。

SCAI 让我们得以退一步,思考需要破除哪些障碍,才能为人工智能的开发与部署开辟路径。

我们也希望,在 SCAI 上结下的友谊与联结,将成为一个国际智库的起点,从而加强人工智能领域的国际合作,并将注意力集中于那些值得我们最为耐心、持续探究的问题上。

一个致力于解决人工智能复杂问题的智库,需要多元视角。为此,SCAI 代表来自16个不同国家,涵盖不同学科领域和生态系统的不同层面,包括产业界、风险投资,以及政府和非营利机构。

今天出席的四位人士同时担任 UN HLAB 成员,他们分别是 Jaan Tallinn、Marietje Schaake、Alondra Nelson 教授,以及我们的大会总监之一何睿民博士(Dr He Ruimin)。SCAI 结束后,他们将飞赴纽约,出席 UN HLAB 的首次线下会议。许多其他代表也将飞往其他会议,例如在印度举办的全球人工智能伙伴关系(Global Partnership on AI)会议。

感谢各位在繁忙的出行日程中抽出时间出席本次大会。希望大家能将这次大会的见解带到各自前往的地方,共同在全球范围内壮大这一社群。

同样,对于所有代表,我们无以言谢,感激大家愿意与新加坡携手共赴这一事业。

希望大家认为这是对时间的有意义投入,共同构建这一智库,真正推动人工智能造福全球。

英文原文

MDDI 官网原始记录 · 抓取日期: 2026-06-21

Thank you for making time to be here in Singapore.

My team and I are keenly aware that many of you have taken a leap of faith to join us at the inaugural Singapore Conference on Artificial Intelligence for the Global Good, or SCAI.

Conferences with an AI theme are a dime a dozen these days. What does Singapore hope to achieve with its own conference, that is different and meaningful? Why is this a good use of your time? And what would encourage you to join us next time, and invite other like-minded colleagues to come along?

Whether or not these questions have crossed your minds, we feel we owe you a clear articulation of our intentions.

First, let me say we start from a place of humility, a genuine desire to learn and a firm belief that we must contribute.

Of all the things we want to learn about AI, it is to learn to ask the right questions, even if they turn out to be very tough questions with no easy answers.

In our short journey as an independent nation, Singapore has had to deal with many tough questions – of survival, relevance, and national unity. In seeking answers to these questions, we have benefitted greatly from the wise counsel of international experts.

For example, Dr Albert Winsemius, a Dutch economist, was Singapore’s Chief Economic Advisor from 1960, not long after we ceased to be British colony. Against the conventional wisdom that was popular then, Dr Winsemius recommended that Singapore focus on attracting foreign investments and build up our manufacturing sector.

His proposals served Singapore well. At age 74, having advised Singapore for nearly a quarter century, he stepped down from the role. By then, Singapore had come to be known as an NIE – a newly industrialising economy.

I mention Dr Winsemius because he was a most respected friend of Singapore, whose advice we greatly valued. In the same way, we see in our SCAI delegates, respected friends who have also been generous with your advice.

There is, however, one big difference.

Our conviction is that when it comes to AI, it is not only what Singapore can learn from the world, but also what we can contribute to it.

Through SCAI, we hope to offer a platform for experts and thought-leaders to come together, to share knowledge and ideas to foster international collaboration – a brain trust, if you will.

This aspiration is, perhaps, best exemplified by our water story.

As you may be aware, water is an existential issue for Singapore. We are a small island, with a limited water catchment.

In the past, up to 80% of our water was imported from overseas. In the 1990s, when membrane technologies were maturing, we sent our people to learn this technology from the United States, so that we could use it to recycle water. The recycled water, which we call “NEWater”, now supplies up to 40% of Singapore’s water needs.

Through NEWater, and other technologies like desalination, we have harnessed technology to overcome an existential problem. But we have not stopped there. We have also shared our experience freely so that others too may benefit.

Every year, we host the Singapore International Water Week, where international experts exchange ideas and solutions in water management. We promote continuous innovation in water technologies in the hope that it will alleviate global water shortages. The Lee Kuan Yew Water Prize is presented annually, to recognise outstanding individuals or organizations that contribute towards solving the world’s water challenges.

AI has more often been compared to electricity than with water, as a general-purpose technology.

With this audience, I don’t need to persuade you of the potential for AI to be a force for good, globally.

Enough has been said and demonstrated about the commendable applications of AI for drug discovery, personalised learning, energy optimisation, and many other positive use cases.

The downside risks are also familiar. AI systems have flaws, including bias and inaccuracies. They can be used by bad actors to create misinformation and cyber-crime at scale. They may also cause significant displacement effects to people and businesses, and its benefits may not be equally distributed within and across countries.

AI agents, acting autonomously, may behave in ways inimical to the interests of human societies. If that were to happen, and there is no reason why it cannot happen, then AI may present existential risks to the world, as much as water is an existential issue for Singapore.

Therefore, along with an attitude of embracing AI innovations, Singapore is equally committed to confronting its risks. And here is where we also see opportunity to contribute, through an approach which has similarities with Traditional Chinese Medicine.

Traditional Chinese Medicine – or TCM for short, is commonly practised in our part of the world, as a complement to Western medicine. Practitioners of TCM view the body as an integrated system. Their interventions are designed to restore balance and achieve health.

One treatment in TCM is acupuncture, which involves fine needles inserted into strategic points in our bodies. The goal is to stimulate the channels through which “Qi”, or energy, runs, to promote a beneficial, healthy energy flow throughout the organism.

In case you have never tried acupuncture before, and have trouble figuring out what I am saying, we have arranged for an acupuncturist to be with us all day tomorrow. If you feel stuck, or just curious, sign up for a 30-minute session, and maybe that will help you along. Consider this our contribution to helping you get into the flow while in Singapore!

Just as TCM practitioners strive for holistic health through a systematic approach, the system- orientation may well be the most robust approach to considering our strategies and efforts to address the opportunities and risks of AI.

We have therefore convened SCAI with a systems-orientation. We are very grateful for the partnership of the Topos Institute, and I want to personally thank its Chairman Ilyas Khan and CEO Dr Brendan Fong, for your intellectual rigour in shaping our program.

We are hopeful that this gathering, away from the hype and flashlights that so often surround AI conferences these days, we can find the strategic points on which to focus our efforts, while thinking about the whole system in which we and future generations live.

We believe that in doing so, we stand a better chance of arriving at a new equilibrium in AI development.

Specifically, our goal in the next few days together is to identify the critical questions of AI, that, if answered systematically, will enable AI to truly serve the global good. Asking the right questions gets us closer to the answers we need.

That is how the world has practically eliminated smallpox, banned CFCs, and developed COVID vaccinations, but the articulation of these questions needs to be sharp and specific — needle-like if you will.

Two weeks ago, I attended a talk by Dr Lydia Liu, an incoming Assistant Professor at Princeton University, where she discussed her work on the delayed impact of fair machine learning. Incidentally, her work won the best paper award at the International Conference on Machine Learning in 2018. This was the second consecutive year that a Singaporean was a first author on the winning paper, after Dr Koh Pang Wei in 2017. Pang Wei is here with us today as a SCAI delegate.

Lydia’s work showed that applying common algorithmic fairness criteria, for example, using credit scores as loan approval criteria, do not necessarily lead to fair outcomes for people over time. Instead, it is essential to go beyond pure theory to also consider system dynamics and interaction effects in order to make practical, positive impact. I found her conclusions to be very thoughtful. Lydia’s spirit of moving beyond generalities, towards practical purpose, is very much in Singapore’s DNA.

Similarly, for SCAI to be useful, we want to build upon declarations of principles, to deepen the conversations in concrete terms. We aim to systematically focus on the outcomes we want to achieve, identify the current state of the art, outline promising approaches, and articulate the means to measure progress.

Over the next three days, will we succeed in identifying a set of sharp, grounded, SCAI questions that help shape the global agenda on AI? We don’t know for sure. SCAI is an experiment, and we will be collectively learning along the way.

But we know that we must try, because the age of AI is too important for us to sleep-walk into. Particularly, as a small country, constrained by the size of our workforce, AI’s potential as a force multiplier holds much promise, provided we also help our people adapt effectively.

AI is, at the same time, a technology that no country can stop from entering its borders, nor its effects from impacting its societies.

On cross-border issues, Singapore has long believed in the need for international cooperation. This is why we have actively contributed and occasionally played leadership roles, such as in the UN Convention of the Law of the Sea, in the World Intellectual Property Organization, the Open-Ended Working Group on cyber-security, and the Forum of Small States.

The Singapore Conference on AI for the Global Good is our latest effort. SCAI complements other initiatives such as the United Nations High-Level Advisory Body (UN HLAB) on AI, the G7 Hiroshima Process, the UK AI Safety Summit and its upcoming State of the Science Report. These initiatives focus on the governance of AI, the prevention of risks or how we might apply AI in solving global issues like climate change.

SCAI allows us to take a step back, to ask what we need to unblock in order to create pathways for AI development and deployment.

We also hope that the friendships and connections forged here at SCAI will be the start of an international brain trust, to strengthen international cooperation on AI, and focus attention on the questions that deserve our most patient and persistent investigations.

A brain trust to address the complex issues in AI will require diverse perspectives. As such, SCAI delegates come from 16 different countries, and different disciplines and parts of the ecosystem, such as industry, venture capitalism, as well as government and nonprofits.

Four individuals in attendance today also serve on the UN HLAB. They are Jaan Tallinn, Marietje Schaake, Professor Alondra Nelson, and one of our Conference Directors, Dr He Ruimin. After SCAI, they will be flying off to New York for the first in-person meeting of the UN HLAB. Many other delegates are also flying off to other conferences, such as the Global Partnership on AI in India, for example.

Thank you for taking time to be here despite the exhausting travel schedule you have committed to. I hope you will bring insights from this conference to wherever you are headed, so that we can grow this community globally.

Likewise, for all our delegates, we cannot thank you enough for being willing to join Singapore in this endeavour.

We hope you will find this a meaningful use of your time, to build the brain trust that will help to truly bring about AI for the Global Good.