口头答复 · 2026-02-12 · 第 15 届国会

新加坡AI经济与数据主权

Projected Expenditure on Government's Pursuit of Global Leadership in Growth Areas and AI-empowered Economy

AI 经济与产业AI 与就业AI 与国家安全AI 基础设施与研究 争议度 4 · 激烈争议

议员质询政府在推动AI经济及全球领导地位上的预算安排,探讨是否设立政府AI公司以保障数据主权及公共利益。政府回应强调国家AI战略2.0,注重数据安全、技术效能及国际合作。核心争议在于如何防止全球科技巨头主导本地AI市场,避免数据流失及技术依赖,及对外资使用公共数据的监管和收益分配问题。

关键要点

  • 政府AI战略投入
  • 数据主权与安全
  • 防止技术依赖
政府立场

推动AI发展兼顾数据安全与国际合作

质询立场

担忧外企主导数据与技术依赖

政策信号

加强数据主权与知识产权保护

"We have robust data protection framework to facilitate the secure processing of data."

参与人员(3)

完整译文(中文)

Hansard 英文原文译文 · 翻译日期:2026-05-02

11号议员严彦松先生询问数字发展与信息部长:(a) 政府在全球增长领域领导力和人工智能赋能经济战略上的预计支出是多少;(b) 政府是否会通过政府拥有的人工智能公司资助具有突破性增长潜力的雄心勃勃的探索性项目;(c) 政府是否认为此类实体在追求数据主权和公共利益至关重要的项目时,比外国实体更有效。

数字发展与信息高级国务部长陈杰豪先生(代表数字发展与信息部长)答复:根据新加坡国家人工智能(AI)战略2.0,我们致力于利用人工智能造福公众,改善新加坡人的生活。该愿景通过在公共和私营部门的投资支持,建设研究、政府和产业的人工智能能力,并将人工智能应用于解决现实世界问题来实现。

在发展这些能力时,我们考虑符合新加坡需求的因素,同时兼顾技术的性能、安全性、韧性和成本效益。我们充分重视数据安全和公共利益。我们利用本地能力,并与国际实体合作,包括能够传授知识、培养技能和创造本地就业的领先公司。

议员可参考即将发布的2026年预算声明和拨款委员会辩论,了解新加坡如何发展人工智能赋能经济的更多细节。

议长:严议员。

严彦松议员(阿裕尼):感谢高级国务部长的答复。部长先生,政府是否担心我们的人工智能领域将被全球科技巨头主导?政府将如何防止所谓的“数据流失”,即这些公司利用我们的公共数据或公共资助构建更优的专有模型,最终向新加坡用户收费订阅,或使本地企业陷入长期技术依赖的境地?

其次,高级国务部长是否会考虑一项政策,要求任何使用新加坡公共数据集进行人工智能训练的外国公司必须承诺实施结构化的本地知识转移计划,并与新加坡企业共享部分由此产生的知识产权?

最后,鉴于公共数据集是国家资源,政府是否会考虑向商业人工智能开发者,尤其是外国企业,收取使用这些数据集训练模型的费用?这笔收入将如何核算和公开,以确保其用于公共利益的实现?

陈杰豪:部长先生,无论公司是在本地注册还是在新加坡境外注册,我们都有明确且健全的数据保护框架,以促进数据的安全处理。

对于私营部门,所有组织必须遵守《个人数据保护法》下的义务。这些义务包括保护义务,即保护其持有的个人数据免遭未经授权的访问,以及转移限制义务,该义务适用于数据转移至其他国家的情况,无论这些数据是用于为新加坡客户处理,还是用于其他目的,包括训练其人工智能模型的数据。

这些组织还必须遵守适用于其行业的其他数据法规。正如议员所提及的,政府作为一个行业也适用这些法规,此外还有金融、电信、医疗保健、物流等行业,这些行业可能有其特定的要求。

本议院最近就《健康信息法案》二读以及《公共部门治理法》进行了辩论,这些法案施加了类似的要求和保障,以确保高标准的数据安全。此类数据(议员提及的公共部门数据)只有在有合法目的支持公共利益,并且具备部长授权和数据保护及安全的合同协议时,才能共享。

关于议员提出的商业模式具体细节,这些必须根据具体用例和相关负责机构的需求来确定。

英文原文

SPRS Hansard 原始记录 · 抓取日期:2026-05-02

11 Mr Gerald Giam Yean Song asked the Minister for Digital Development and Information (a) what is the projected expenditure on the Government’s strategies for global leadership in growth areas and an AI-empowered economy; (b) whether the Government will fund ambitious exploratory projects with breakout growth potential through a Government-owned AI corporation; and (c) whether the Government considers such entities more effective than foreign entities at pursuing projects where data sovereignty and public interest are paramount.

The Senior Minister of State for Digital Development and Information (Mr Tan Kiat How) (for the Minister for Digital Development and Information) : Under Singapore's National Artificial Intelligence (AI) Strategy 2.0, we seek to harness AI for the public good and to improve the lives of Singaporeans. This vision is supported by making investments across both the public and private sectors, building up AI capabilities in research, government and industry, and applying AI to solve real-world problems.

In developing these capabilities, we consider what serves Singapore's needs, alongside other factors, such as the performance, security, resilience and cost-effectiveness of the technology. There is due regard for data security and the public interest. We leverage local capabilities and partner with international entities, including leading companies who can impart knowledge, build skills and create local jobs.

The Member may refer to the upcoming 2026 Budget Statement and the Committee of Supply debates for more details on how Singapore will develop an AI-empowered economy.

Mr Speaker : Mr Giam.

Mr Gerald Giam Yean Song (Aljunied) : I thank the Senior Minister of State for the reply. Sir, does the Government have any concerns that our AI landscape will be dominated by global technology giants? How will the Ministry prevent what is called a "data drain" where these companies use our public data or public grants to build superior proprietary models, and that they eventually charge Singaporean subscriptions for or risk forcing local firms into a position of enduring technical dependency?

Secondly, will the Senior Minister of State consider a policy where any foreign firm using Singapore's public data sets for AI training must commit to a structured local knowledge transfer programme and share a portion of the resulting intellectual property with Singaporean firms?

And lastly, given that public data sets are a national resource, will the Government consider charging commercial AI developers, particularly foreign-based ones, a fee for training their models on these sets and how will this revenue be accounted for and publicised to ensure it is used for the delivery of public goods?

Mr Tan Kiat How : Sir, regardless of whether the companies are domiciled here or are domiciled outside Singapore, I think it is very clear that we have robust data protection framework to facilitate the secure processing of data.

For the private sector, all organisations must comply with their obligations under the Personal Data Protection Act. Examples of these obligations include the Protection Obligation to protect personal data in their possession from unauthorised access and the Transfer Limitation Obligation, which applies when data is transferred to another country, regardless of whether they use the data for processing it for Singapore clients, or for something else, including training data for their AI models.

These organisations must also comply with any additional data regulations which apply to their sectors, and as the Member has alluded to, that includes the Government as a sector, but there are also financial sectors, telecommunications, healthcare, logistics and so forth. These sectors may have its own specific set of requirements.

In this House, we just had a debate on the Second Reading of the Health Information Bill as well as the Public Sector Governance Act, which impose similar requirements and safeguards to ensure high standards of data security. Such data can only be shared, and that is for the public sector data that the Member has mentioned if there is a legitimate purpose to support the public interest, and the Ministerial authorisation and contractual agreements for data protection and data security are in place.

His other questions around the specifics of the commercial model, the business model, these have to be use case specific and driven by the use case problems and the relevant agencies looking after it.