MDDI 演講稿 · 2024-11-19
楊莉明部長在保誠全球 AI 實驗室(新加坡)啟動儀式上的演講
要點
- • 保誠（Prudential）在新加坡啟動全球 AI 實驗室——3 個月內已識別 100+ 實操用例（理賠裁定、客戶諮詢響應等）。
- • NAIS2.0 一年回顧：政府層面（公職人員自建個性化 AI 機器人、SCDF AI 分診助理、學校的 Simpler 工具）；研究層面（NUS AI Institute、SIT-NVIDIA AI Centre、NTU 醫學 AI 中心、$1.2 億新元「AI for Science」、新加坡承辦 ICLR 2025 與 AAAI 2026）；產業層面（Coca-Cola、Philips 加入 A*STAR 製造業 AI CoE，禮來、AvePoint 設立 AI CoE）。
- • 國際合作：與美國 CET 對話（含 AI 安全研究院網路）；與中國「數字政策對話」（重點是影響社會和諧的內容風險）；與英國 AI 安全 MOU；與盧安達共同釋出《小國 AI Playbook》。
- • 工具：IMDA《Model AI Governance Framework》+ Project Moonshot；CSA《保護 AI 系統指南與配套指南》——著力推動跨國互操作。
- • 保誠是 AI Verify Foundation 成員——共同推進全球負責任 AI 標準與最佳實踐。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-03
本文已從早期版本的網站遷移過來——格式可能有不一致之處。
Mrs Josephine Teo（數碼發展及新聞部部長）在保誠（Prudential）新加坡全球 AI 實驗室啟動儀式上的主旨演講
保誠集團執行長 Anil Wadhwani 先生，
各位嘉賓，
各位同事與朋友：
下午好。
1. 很高興回到保誠。我記得大約 3 年前來訪過——那時新加坡正非常艱難——還在新冠中——就業市場非常黯淡。我們都希望能想辦法帶來希望——「SG United Traineeship Programme」就是讓年輕畢業生能起步事業的方式之一。我很高興——保誠那時招的不少學員至今仍在你們身邊——這一定意味著你們做得很好。這一次——我很高興我們能討論一件非常當下、且有突破性潛能的事——不只是對公司本身、對整個保險業也是。
2. 保誠今天在新加坡啟動「全球 AI 實驗室」——離總理黃循財釋出更新版《國家 AI 戰略》（NAIS 2.0）將近一年。
3. NAIS 2.0 提出了「卓越」（excellence）與「賦能」（empowerment）這一對目標——讓新加坡在保險與金融等特定行業培育 AI 卓越的高峰，同時讓最廣基的個人、企業與社群能帶著自信、判斷力與信任去使用 AI。
4. 一年過去——我們在整個 AI 生態都看到大量進展——政府、研究、產業。
5. 在政府內部——AI 已經被部署到許多有意義的用例中：
a. 比如——今年公職人員一直在為自己建立個性化 AI 機器人——它們建立在一組定製文件之上，回答問題就像「擁有深厚機構知識的資深同事」。
b. 新加坡民防部隊（SCDF）正在開發一款 AI 分診助理——準確記錄緊急呼叫的關鍵細節——從而提升響應速度與質量。
c. 在我們的學校——一款叫「Simpler」的 AI 工具——能改寫句子、用契合學生閱讀偏好水平的詞——幫助他們更容易理解複雜主題。
d. 我們也在公共部門穩步建立 AI 人才池——配備專門 AI 團隊，並提供大量的實驗與跨部門分享機會。
6. 同樣——研究生態也在多方面前進：
a. 新研究中心已經成立——包括 NUS AI Institute、SIT-NVIDIA AI 中心、NTU 醫學 AI 中心。
b. 我們的學生在首屆「國際 AI 奧林匹克」上奪得 4 枚金牌中的 2 枚。
c. 10 月——黃循財總理宣佈投入 1.2 億新元的「AI for Science」計劃——促進跨學科協作，幫助研究者推動科學發現的邊界。
d. 我們的研究者在頂級 AI 會議廣泛發表論文。新加坡也即將承辦兩場重要的 R&D 領導者級 AI 大會——
i. 2025 年的「國際表徵學習大會」（ICLR）——AI 專家社群裡相當知名的活動；
ii. 2026 年的「人工智慧促進協會大會」（AAAI，「Triple AI」）。
7. 除了政府與研究社群裡發生的所有這一切——令我個人非常受鼓舞的是——我們的產業也在熱情地把 AI 用起來——提升生產力、創造價值、變得更具競爭力。
a. 一種「AI 實驗與創新」的文化在生長。Google 的「AI Trailblazers」等舉措——已催化了早期採用者的行動。我們看到他們識別真實世界的挑戰、可以用生成式 AI 來回應——構建原型——把原型推到生產環境。
b. 公司、初創、研究者走到一起——開發回應共性用例與問題的 AI 方案——目標是在區域層面規模化它們的成功。
c. 比如——A*STAR 設立了「製造業行業級 AI 卓越中心」——把研究專家與產業實務者聚到一起——開發從「產品設計與質量保證」到「工業自動化與預測性維護」等領域的 AI 方案。可口可樂（Coca-Cola）、飛利浦（Philips）等公司已簽約加入這一努力。
d. 新加坡航空（SIA）、星展（DBS）等本地行業冠軍在積極投資 AI 發展。更多公司——包括禮來（Lilly）、AvePoint——已經或正在新加坡設立 AI 卓越中心——開發新的 AI 加持產品與服務，並改造自身運營。
8. 我很高興——保誠今天同樣啟動其 AI 卓越中心——這將給新加坡日益活力的 AI 生態再添一份。
9. 據我瞭解——這個 AI 實驗室計劃研究的問題——是「更好理解客戶、為他們交付更好體驗、併產生有意義的業務影響」。令人印象深刻的是——過去 3 個月裡——這個實驗室已識別 100 多個實操用例——包括以速度與共情來裁定理賠、回應客戶諮詢。
10. 作為「卓越中心」——保誠的成功——能成為金融行業 AI 價值創造的展示——不只是新加坡——是全球。這就是為什麼我很高興——你們在這裡開發的 AI 方案——可以擴充套件到其他地方——影響你們在亞洲與非洲的運營、服務、產品。這與我們對新加坡 AI 生態的看法非常一致——既給本地業務、也給全球業務帶來推動。
11. 我可以向各位保證——新加坡政府將繼續以「使能性的政策、框架、沙盒」支援 AI 創新——同時——我們將擴大 AI 人才的廣度與深度——支撐像你們這樣的能力發展倡議。
12. 我們對 AI 的巨大承諾感到興奮——毫無疑問。同樣——我們對「負責任 AI 使用」的承諾也不應有疑——我們認真在確保 AI 系統按公平、透明、問責的方式被設計。我們相信——開發 AI 用例的企業必須竭力緩釋偏見風險、保護敏感個人資料、維繫客戶信任。當公司負責任地使用 AI——他們不僅為客戶與股東創造價值——也幫助公眾建立對 AI 的信任。在這項技術被廣泛部署的當下——這一點至關重要。
13. 在這件事上——我們積極推進國際夥伴關係，並儘可能貢獻：
a. 與美國——我們有一個「關鍵與新興技術」（CET）對話——讓我們識別合作領域。AI 安全是其中之一。事實上——就在我們說話的同時——舊金山有一場「AI 安全研究院網路」會議——新加坡是這個網路中少數被代表的國家之一。
b. 與中國——我們有一個「數字政策對話」——開局不錯。我們都關心如何管理 AI 的風險——尤其在「影響社會和諧與凝聚」的內容方面。
c. 除了美中——我們與 ASEAN 同行合作釋出了《AI 治理與倫理指南》。我們最近也與英國簽署了關於 AI 安全的新「合作備忘錄」。我們也與盧安達共同釋出了《小國 AI Playbook》。
14. 與此同時——我們繼續支援企業進行「負責任 AI 的開發與落地」。我們不能只「談」負責任 AI——必須有方式去測試 AI 系統的「負責任程度」、並提供框架給使用者「保障」。例子包括 IMDA 的《Model AI Governance Framework》與 Project Moonshot——以及 CSA 的《保護 AI 系統指南與配套指南》。這些資源為企業提供務實、易用的指引——覆蓋最佳實踐、風險管理與安全考量。我們鼓勵企業善用它們。同時——我們也在與國際同行合作——讓這些指南更具「互操作性」——讓公司在跨境時不必每次都為「該滿足哪些標準」而苦戰。
15. 在這件事上——我很高興——保誠作為「AI Verify Foundation」的成員——與我們共享這種 AI 安全的承諾。通過參與該基金會——保誠正在幫助推進「為負責任 AI 制定全球標準與最佳實踐」的努力。
16. 結束之前——我期待保誠 AI 實驗室帶來的有意義貢獻。祝各位事事順遂！
17. 謝謝。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-02
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Keynote Address by Mrs Josephine Teo, Minister of Digital Development and Information, at Launch of Prudential’s Global AI Lab in Singapore
Mr Anil Wadhwani, CEO of Prudential plc
Distinguished Guests
Colleagues and Friends
Good afternoon.
1. It’s great to be back at Prudential. I recall visiting about three years ago. It was a very tough time for Singapore. We were still very much in the midst of Covid, and the job market was so bleak at that time. All of us wanted to find a way to bring hope, and the SG United Traineeship Programme was a way for us to allow young graduates to jumpstart their careers. I am glad that a good number of trainees that Prudential took in that time are still with you. It must mean that you all did a great job. I am delighted that this time round, we get to discuss something that is very current, and also has the potential to be groundbreaking – not just for the company, but also for the insurance sector at large.
2. Prudential’s launch of its Global AI Lab in Singapore today comes nearly a year after Prime Minister Lawrence Wong launched Singapore’s refreshed National AI Strategy, or NAIS2.0.
3. NAIS2.0 articulated the twin goals of excellence and empowerment – for Singapore to develop peaks of AI excellence in specific sectors, including the insurance and financial sectors, while enabling the broadest base of individuals, businesses and communities to use AI with confidence, discernment and trust.
4. One year on, we have seen much progress across the entire AI ecosystem: in Government, Research and Industry.
5. Within Government, AI has been deployed in many meaningful use cases:
a. For example, this year, officers have been creating their own personalised AI bots that draw on customised sets of documents and can respond to their questions almost like experienced colleagues with deep institutional knowledge.
b. The Singapore Civil Defence Force (SCDF) is developing an AI-powered triage assistant that helps to accurately record the critical details of an emergency call, thereby improving the speed and quality of response.
c. In our schools, an AI tool called “Simpler” can rephrase sentences and use words that match students’ preferred reading levels, helping them to more easily understand complex topics.
d. We are also steadily building up the AI talent pool among public agencies, with dedicated AI teams and numerous experimentation and cross-sharing opportunities.
6. Likewise, the research ecosystem has moved forward in several ways:
a. New research centres have been established. These include the NUS AI Institute, the SIT-NVIDIA Centre for AI and NTU’s Centre of AI for Medicine.
b. Our students won two of four gold medals awarded at the inaugural International Olympiad for AI.
c. In October, Prime Minister Wong announced a S$120million “AI for Science” programme to promote inter-disciplinary collaborations and help our researchers push the limits of scientific discovery.
d. Our researchers have published widely at top AI conferences. Soon, Singapore will also be hosting two major conferences for R&D leaders in AI. These are
i. the International Conference on Learning Representations (ICLR) in 2025 – a well-known event within the community of AI experts; and
ii. the Association for the Advancement of AI Conference (“Triple AI”) in 2026.
7. In addition to all that is happening within the Government and research communities, I’m personally very encouraged that our industries are also stepping up enthusiastically to make good use of AI, to raise productivity, create value, and be more competitive.
a. There is a growing culture of AI experimentation and innovation. Initiatives such as Google AI Trailblazers have helped to catalyse action by early adopters. We have seen them identify real-world challenges that can be addressed with generative AI, build prototypes and bring these prototypes to production.
b. Companies, start-ups and researchers are coming together to develop AI solutions that address common use-cases and problem statements – with the aim of scaling their successes across the region.
c. For example, A*Star set up the “AI Centre of Excellence for the Manufacturing Sector”. It brings together research experts and industry practitioners to develop AI-based solutions in areas ranging from product design and quality assurance, to industrial automation and predictive maintenance. Companies such as Coca Cola and Phillips have signed up to be part of this effort.
d. Local industry champions like SIA and DBS are actively investing in AI development. More companies including Lilly and AvePoint have set up or are setting up AI Centres of Excellence in Singapore, to develop new AI-enabled products and services, as well as transform their own operations.
8. I am happy that Prudential is similarly launching its Centre of Excellence in AI today. This will add to the increasingly vibrant AI ecosystem in Singapore.
9. I understand the AI lab plans to work on exciting problem statements that seek to understand customers better, deliver a better experience for them, and yield meaningful business impact. It is impressive that over the past 3 months, the AI lab has already identified over 100 practical use cases. These include adjudicating claims and answering customer queries with speed and empathy.
10. As a Centre of Excellence, Prudential’s success can be a showcase of AI value creation within the finance sector, not just in Singapore but worldwide. That is why I am glad that your AI solutions developed here may be scaled up elsewhere, to impact your operations, services and products across Asia and Africa. This aligns very much with how we see the AI ecosystem in Singapore, as a boost to businesses locally and globally.
11. I can assure you that the Singapore government will continue to support AI innovation with enabling policies, frameworks, and sandboxes. We will, at the same time grow the breadth and depth of AI talent to sustain capability development initiatives such as yours.
12. There is no question that we are excited about the immense promise of AI. Equally, there should be no doubt about our commitment to responsible AI use. It’s clear that we are serious about ensuring that AI systems are designed with fairness, transparency and accountability. We believe that businesses developing AI use cases must make every effort to mitigate against risks of bias, protect sensitive personal data, and retain customers’ trust. When companies use AI responsibly, they not only create value for customers and shareholders, they also help build public trust in AI. This is essential as the technology is being deployed much more widely.
13. In this regard, we actively pursue international partnerships and contribute where we can.
a. With the US, we have a dialogue on Critical and Emerging Technologies which has allowed us to identify areas of collaboration. AI safety is one of those areas. In fact, as we speak, in San Francisco, there’s a meeting of AI Safety Institutes as a network, and Singapore is one of the few countries that are represented at this network.
b. With China, we have a Digital Policy Dialogue that has gotten off to a good start. We are both interested in managing the risks of AI, especially when it comes to content that affects societal harmony and cohesion.
c. Besides the US and China, we worked with ASEAN colleagues on a Guide on AI Governance and Ethics. We also recently signed a new Memorandum of Cooperation with the United Kingdom on AI safety. With Rwanda, we jointly published the AI Playbook for Small States.
14. At the same time, we continue to support businesses in responsible AI development and implementation. We cannot just talk about responsible AI; there must be some way of testing the responsibility of AI systems and to provide frameworks to give assurance to users. Examples include the Infocomm Media Development Authority’s Model AI Governance Framework and Project Moonshot, as well as the Cyber Security Agency of Singapore’s Guidelines and Companion Guide on Securing AI system. These resources offer pragmatic, easy-to-use guidance for enterprises, covering best practices, risk management, and security considerations. We encourage businesses to make good use of them. At the same time, we are also working with our international counterparts to make these kinds of guides more interoperable, so that companies do not have to always struggle with knowing what standards to meet when they cross borders.
15. On this note, I am heartened that Prudential shares our commitment to AI safety, as it is a member of the AI Verify Foundation. By participating in the Foundation, Prudential is helping to advance efforts to develop global standards and best practices for responsible AI.
16. In closing, I look forward to seeing the meaningful contributions from Prudential’s AI Lab. I wish you every success!
17. Thank you.