Last updated: 2026-06-09 250 debate records
Source: SPRS Hansard · PAIR Search Digests assisted by AI
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Parliamentary AI Focus

First-hand records of Singapore parliamentary debates on AI, with AI-assisted English digests, MP positions, and policy-pattern insights.

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Total records
250
Years covered
2015-2026
Updated
2026-06-09
Type mix
Written Answers 118 / Oral Answers 64 / Budget Debate 59 / Motions 9
Yearly debate volume

Debate Records

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15 Parliament Mild scrutiny

Ensuring Safety of Frontier AI Models Deployed in Singapore, and Setting Up Framework for Tracking and Reporting Serious AI Incidents

Dr Charlene Chen, Mr Alex Yam, Dr Choo Pei Ling and Mr Yip Hon Weng asked the Minister for Digital Development and Information about the AI Safety Institute's ability to independently test frontier AI models, cross-sector incident-reporting frameworks, and the resilience of government systems following an unauthorised-...

Policy Signal: This suggests Singapore favours folding agentic AI risks into its existing cybersecurity, data protection and critical-information-infrastructure regimes rather than creating a standalone mandatory frontier AI law, while adjusting its approach gradually through internal trials and international cooperation.
Open digest, stances, and transcript

Dr Charlene Chen, Mr Alex Yam, Dr Choo Pei Ling and Mr Yip Hon Weng asked the Minister for Digital Development and Information about the AI Safety Institute's ability to independently test frontier AI models, cross-sector incident-reporting frameworks, and the resilience of government systems following an unauthorised-access incident involving an autonomous AI agent in Australia. Senior Minister of State Tan Kiat How replied, on the Minister's behalf, that existing cybersecurity, data protection and critical-information-infrastructure frameworks already apply to agentic AI systems, that the Government is trialling responsible agentic AI deployment through GovTech and other agencies, and that these frameworks are under review for strengthening, without committing to a specific threshold or timeline for mandatory frontier AI safety testing.

Key Points
  • • Existing guidelines, regulations, risk-management processes and oversight already apply to agentic AI systems, including the principle of maintaining human accountability.
  • • The Government, through GovTech and other agencies, is trialling the use of agentic AI within the Public Service to understand how to implement it responsibly.
  • • Singapore's AI Safety Institute continues to work closely with international counterparts to share best practices on AI safety.
  • • Singapore recently signed a statement of support with like-minded countries, including at the United Nations, for greater international collaboration on AI safety.
Government Position
The Government's position is that existing cybersecurity, data protection and critical-information-infrastructure frameworks already apply to agentic AI, and these are being reviewed and strengthened, but it did not commit to mandatory testing requirements or a specific threshold and timeline for frontier AI models.
Questioning Position
The questioners were concerned that existing frameworks may not clearly define reportable AI-incident thresholds, ensure timely notification from overseas developers, or give citizens adequate protection and redress when affected by an AI system.
"Therefore, existing guidelines and regulations, including risk management processes and oversight also apply to agentic AI systems."
Original transcript excerpt
Dr Charlene Chen, Mr Alex Yam, Dr Choo Pei Ling and Mr Yip Hon Weng pressed the Senior Minister of State for Digital Development and Information, Tan Kiat How, on AI safety testing access, incident-reporting thresholds, and the resilience of government systems against agentic AI, following a reported incident in which an autonomous AI agent gained unauthorised access to Australian government systems. Tan Kiat How replied that existing guidelines, risk-management processes and oversight frameworks, including the principle of human accountability, already apply to agentic AI systems, and that these are being reviewed and strengthened. He said the Government, through GovTech and other agencies, is running trials to build internal capability for deploying agentic AI responsibly, and that Singapore's AI Safety Institute works with international counterparts, including through a recent statement of support with like-minded countries at the United Nations. On incident reporting, he said existing frameworks such as the Personal Data Protection Act already set thresholds that apply regardless of whether AI tools are involved, citing a recent case where an employee's personal use of a generative AI tool led to a data leak. He did not commit to a specific threshold or timeline for mandatory frontier AI safety testing, saying this is a rapidly evolving area that the Government will keep monitoring and adapting frameworks for.
15 Parliament Mild scrutiny

Access Controls for SAFER Unit Data Sharing and Ensuring AI Risk Algorithms Avoid Unfair Profiling or Privacy Infringements Against Vulnerable Families

Mr Yip Hon Weng asked Mr Masagos Zulkifli what strict access controls govern the sharing of highly sensitive client records in the SAFER unit between public agencies and non-government Social Service Agencies, and how the Ministry ensures AI risk algorithms avoid unfair profiling or privacy infringements against vulner...

Policy Signal: This shows the Government taking a cautious, incremental approach to sensitive data use involving vulnerable families, currently relying on a non-AI risk algorithm, and signalling that any future AI expansion will require rigorous safeguards and human oversight, without disclosing detailed technical specifics.
🎙️ Yip Hon Weng · Mr Masagos Zulkifli B M M
Open digest, stances, and transcript

Mr Yip Hon Weng asked Mr Masagos Zulkifli what strict access controls govern the sharing of highly sensitive client records in the SAFER unit between public agencies and non-government Social Service Agencies, and how the Ministry ensures AI risk algorithms avoid unfair profiling or privacy infringements against vulnerable families. Mr Masagos replied that SAFER combines data from different agencies to identify cases with child safety concerns, that all information sharing is governed by existing legal and policy safeguards, and that the current risk algorithm does not use any AI, though future expansion of data analytics or AI will remain subject to rigorous safeguards and human oversight.

Key Points
  • • SAFER brings together data from different agencies to identify cases with child safety concerns for assessment and follow-up by child protection practitioners.
  • • Where needed, SAFER escalates cases by giving the specific Social Service Agency relevant case information to support their assessment and determine the right level of support for families.
  • • All information sharing, whether between Government agencies or with Social Service Agencies, is governed by existing legal and policy safeguards against misuse.
  • • The current risk algorithm used by SAFER does not utilise any AI.
Government Position
The Government maintains that information sharing under SAFER is already governed by existing legal and policy safeguards, and that the current risk algorithm does not use AI; it did not specify what new access controls or algorithmic safeguards would apply if AI use expands in future.
Questioning Position
Mr Yip Hon Weng's concern was whether access controls for sharing highly sensitive child protection records across agencies are strict enough, and whether risk algorithms could unfairly profile or infringe the privacy of vulnerable families.
"The current risk algorithm does not utilise any AI."
Original transcript excerpt
Mr Yip Hon Weng asked the Minister for Social and Family Development what strict access controls govern the sharing of highly sensitive client records between public agencies and non-government Social Service Agencies under the SAFER unit, and how the Ministry ensures AI risk algorithms avoid unfair profiling or privacy infringements against vulnerable families. Mr Masagos Zulkifli replied that SAFER brings together data from different agencies to identify cases with child safety concerns for assessment and follow-up by child protection practitioners. He said that where needed, SAFER escalates cases by giving the specific SSA relevant case information to support its assessment and determine the right level of support, and that all information sharing is governed by existing legal and policy safeguards against misuse. He added that the current risk algorithm does not use any AI, and that any future expansion of data analytics or AI use will remain subject to rigorous safeguards and human oversight.
15 Parliament Mild scrutiny

Measures to Assess Students' Ability to Perform Key Learning Tasks without AI Assistance

Mr Jackson Lam asked the Minister for Education whether MOE intends to develop measures to assess students' ability to perform key learning tasks, particularly in writing, research and problem solving, without AI assistance. Mr Desmond Lee replied that national and school-based examinations are typically proctored and...

Policy Signal: This signals that Singapore's education policy relies on existing exam proctoring and coursework disclosure rules to address AI, rather than introducing a dedicated new assessment regime, favouring ongoing adjustment over a one-off new rule.
Open digest, stances, and transcript

Mr Jackson Lam asked the Minister for Education whether MOE intends to develop measures to assess students' ability to perform key learning tasks, particularly in writing, research and problem solving, without AI assistance. Mr Desmond Lee replied that national and school-based examinations are typically proctored and disallow AI use to assess students' independent abilities, while for assessments where AI use is appropriate, students must declare their AI use and remain responsible for their own work; MOE will continue reviewing its assessment approaches as AI capabilities evolve.

Key Points
  • • National and school-based examinations are typically proctored and disallow AI use, so students' independent abilities can be assessed.
  • • For assessments where some AI use is appropriate, such as certain research or coursework, students must state how AI is used and remain responsible for their own work.
  • • Even where AI is permitted, assessments are designed to require students to demonstrate their own thinking, judgement and understanding.
  • • MOE places importance on students developing strong foundational knowledge and skills while learning to use AI appropriately and responsibly.
Government Position
The Government's position is to safeguard assessment of students' independent abilities through proctored exams that disallow AI and disclosure requirements in AI-permitted coursework, but it did not commit to any new dedicated assessment tool or timeline.
Questioning Position
Mr Jackson Lam's question reflects concern that students may rely too heavily on AI, leaving core abilities in writing, research and problem solving inadequately assessed.
"National and school-based examinations are typically proctored and disallow the use of AI, so that students' independent abilities can be assessed."
Original transcript excerpt
Mr Jackson Lam asked the Minister for Education whether MOE intends to develop measures to assess students' ability to perform key learning tasks without AI assistance, particularly in writing, research and problem solving. Mr Desmond Lee replied that MOE recognises the importance of students developing strong foundational knowledge and skills while learning to use AI appropriately and responsibly. He said assessments are designed according to their purpose, including assessing what students can do independently, and that national and school-based examinations are typically proctored and disallow AI use. For assessments where some AI use is appropriate, such as certain research or coursework, students must state how AI was used and remain responsible for their own work, with assessments designed to require their own thinking, judgement and understanding. He added that MOE will continue to review its assessment approaches as AI capabilities evolve.
15 Parliament Mild scrutiny

Modelling and Balancing Additional Electricity and Water Demand Arising from AI Computing and Data Centre Growth with Singapore's Energy and Sustainability Objectives

Mr Jackson Lam asked the Minister for Energy, Trade and Industry (Energy and Industry), Dr Tan See Leng, whether the Government has modelled the additional electricity and water demand from AI computing and data centre growth over the next five to 10 years, and how these demands would be balanced against energy securit...

Policy Signal: This signals that the Government will continue to manage data centre growth and resource use through the DC-CFA mechanism and the forthcoming Digital Infrastructure Bill, prioritising green energy quotas and efficiency standards over disclosing specific demand forecasts.
Open digest, stances, and transcript

Mr Jackson Lam asked the Minister for Energy, Trade and Industry (Energy and Industry), Dr Tan See Leng, whether the Government has modelled the additional electricity and water demand from AI computing and data centre growth over the next five to 10 years, and how these demands would be balanced against energy security, water security and emissions objectives. Dr Tan replied that projected electricity and water demand from data centres, including AI computing, is factored into national infrastructure planning, and that since the 2019-2022 moratorium on data centre growth, new capacity has been allocated mainly through the Data Centre-Call for Application (DC-CFA) exercise, with the second DC-CFA requiring applicants to power at least 50% of their data centre capacity from green energy sources. He added that the newly introduced Digital Infrastructure Bill will require data centres to meet facility-level Power Usage Effectiveness (PUE) requirements, with a framework allowing water efficiency requirements to be introduced where necessary.

Key Points
  • • Projected electricity and water demand from data centres, including AI computing, is factored into national infrastructure planning.
  • • Since the 2019-2022 moratorium on data centre sector growth, new DC capacity has been allocated mainly through the Data Centre-Call for Application (DC-CFA) exercise.
  • • The second DC-CFA exercise required applicants to power at least 50% of their data centre capacity from green energy sources.
  • • The newly introduced Digital Infrastructure Bill will require existing and new data centres to meet facility-level Power Usage Effectiveness (PUE) requirements.
Government Position
The Government's position is that data centre demand is factored into planning and managed through the DC-CFA mechanism, green energy quotas and PUE requirements, but it did not disclose specific modelling figures or a timeline for introducing water efficiency requirements.
Questioning Position
Mr Jackson Lam's concern was about the pressure that AI computing and data centre expansion could place on Singapore's energy security, water security and emissions objectives.
"The recently introduced Digital Infrastructure Bill will require existing and new DCs to meet facility-level Power Usage Effectiveness requirements."
Original transcript excerpt
Mr Jackson Lam asked whether the Government has modelled the additional electricity and water demand from AI computing and data centre growth over the next five to 10 years, and how this would be balanced against energy security, water security and emissions objectives. Dr Tan See Leng replied that projected electricity and water demand from data centres, including AI computing, is factored into national infrastructure planning. He noted that since the 2019-2022 moratorium on data centre sector growth, new capacity has been calibrated and is now allocated mainly through the Data Centre-Call for Application (DC-CFA) exercise, with the second DC-CFA requiring applicants to power at least 50% of their capacity from green energy. He added that the Government is also improving sector resource efficiency: the newly introduced Digital Infrastructure Bill will require existing and new data centres to meet facility-level Power Usage Effectiveness requirements, and its framework allows water efficiency requirements to be introduced where necessary.
15 Parliament Information

Complimentary AI Tool Subscription Scheme Redemption Rates, Uptake Targets and Breakdown of Popular AI Tools Subscribed

Gerald Giam asked the Acting Minister for Manpower how many Singaporeans had redeemed the complimentary six-month premium AI tool subscription, what take-up targets had been set, how current figures compared, and which tools were most popular among beneficiaries. Jasmin Lau replied that the scheme, launched on 16 Septe...

Policy Signal: The scheme shows Singapore's Government is using large-scale subsidies for personal AI tool subscriptions to build nationwide AI capability and spur enterprise adoption, though the scheme is still in its early stage and progress reporting has yet to be established.
Open digest, stances, and transcript

Gerald Giam asked the Acting Minister for Manpower how many Singaporeans had redeemed the complimentary six-month premium AI tool subscription, what take-up targets had been set, how current figures compared, and which tools were most popular among beneficiaries. Jasmin Lau replied that the scheme, launched on 16 September 2026, aims to reach around 200,000 individuals over three years as part of broader efforts to build Singaporeans' AI capabilities and support enterprise AI adoption; since the scheme had run for less than two weeks, it was too early to assess take-up against the target.

Key Points
  • • The scheme launched on 16 September 2026, offering a complimentary six-month subscription to premium AI tools.
  • • It aims to reach around 200,000 individuals over three years.
  • • The scheme is part of broader Government efforts to build AI capabilities among Singaporeans and support AI adoption by enterprises.
  • • As the initiative has been running for less than two weeks, it is too early to assess take-up against the target.
Government Position
The Government has set an overall target of reaching around 200,000 people over three years, but declined to provide specific redemption numbers, progress against the target, or a breakdown of popular AI tools, citing that the scheme has been running for less than two weeks.
Questioning Position
Gerald Giam sought details on actual redemption numbers and the popularity of tools used, to gauge the scheme's progress and effectiveness.
"As the initiative has been in operation for less than two weeks, it is too early to assess take-up against this three-year target."
Original transcript excerpt
Gerald Giam asked the Acting Minister for Manpower how many Singaporeans had redeemed the complimentary six-month subscription to premium AI tools, what take-up targets the Ministry had set, how current figures compared to those targets, and which AI tools were most popular among beneficiaries. Jasmin Lau replied that the scheme was launched on 16 September 2026 and aims to reach around 200,000 individuals over three years. She said it complements broader Government efforts to build AI capabilities among Singaporeans and support enterprise AI adoption. Lau did not give redemption numbers, a comparison against the target, or a breakdown of popular tools, stating that since the scheme had been running for less than two weeks, it was too early to assess take-up against the three-year target.
15 Parliament Mild scrutiny

Measuring Impact of AI Adoption on Job Redesign, Workload and Working Hours

Mr Sanjeev Kumar Tiwari asked the Acting Minister for Manpower whether the Ministry can regularly measure the effect of AI adoption and job redesign on workload and working hours, and whether workload and task-volume measures can be added to iWorkHealth. Ms Jasmin Lau replied that MOM's quarterly AI survey asks employe...

Policy Signal: This shows the Government relies on its existing quarterly AI survey and the voluntary iWorkHealth tool to monitor AI's impact on the workforce, rather than building a new mandatory data-collection mechanism, reflecting an incremental approach built on existing voluntary tools.
🎙️ Mr Sanjeev Kumar Tiwari · Jasmin Lau
Open digest, stances, and transcript

Mr Sanjeev Kumar Tiwari asked the Acting Minister for Manpower whether the Ministry can regularly measure the effect of AI adoption and job redesign on workload and working hours, and whether workload and task-volume measures can be added to iWorkHealth. Ms Jasmin Lau replied that MOM's quarterly AI survey asks employers about job redesign and will help track these effects, and that iWorkHealth already includes workload and task-demand questions, but its voluntary use means the data is not representative enough to assess the overall impact nationally.

Key Points
  • • MOM's AI survey is conducted quarterly and asks employers how AI adoption affects the redesign of job roles.
  • • The survey will help understand the effects of AI adoption on workload and working hours among employees in Singapore.
  • • iWorkHealth is a psychosocial health assessment tool that helps employers identify common workplace stressors and psychosocial risks.
  • • iWorkHealth already includes questions on employees' perception of workload and task demands, which employers can use to monitor the impact of AI adoption and job redesign.
Government Position
The Government said it will keep tracking the effects of AI adoption on workload and working hours through its quarterly AI survey, and noted employers can already use iWorkHealth for this purpose, but it did not commit to formally adding workload and task-volume measures to iWorkHealth, citing the tool's voluntary use as a limit on representative national data.
Questioning Position
Mr Sanjeev Kumar Tiwari's concern was whether existing mechanisms can adequately measure the real impact of AI adoption and job redesign on employees' workload and working hours.
"As the usage of this tool is voluntary, the data will not be sufficiently representative to assess the overall impact of AI on workload and task demands in Singapore."
Original transcript excerpt
Mr Sanjeev Kumar Tiwari asked the Acting Minister for Manpower, in relation to MOM's report on AI adoption among firms, whether the Ministry can regularly measure how AI adoption and job redesign affect workload and working hours, and whether workload and task-volume measures could be added to iWorkHealth. Ms Jasmin Lau replied that MOM's AI survey, conducted quarterly, asks employers how AI adoption affects job redesign and will help track its effects on workload and working hours among employees in Singapore. She explained that iWorkHealth, a psychosocial health assessment tool, already includes questions on employees' perceived workload and task demands, which employers can use to monitor the impact of initiatives such as AI adoption and job redesign. However, she noted that because use of iWorkHealth is voluntary, the data collected is not representative enough to assess AI's overall impact on workload and task demands across Singapore.
15 Parliament Mild scrutiny

Decision on Introducing Free Premium AI Access for Students in Institutes of Higher Learning

Ms He Ting Ru asked the Minister for Education what oversight role MOE plays when institutes of higher learning introduce free premium AI access for students, how risks such as cognitive offloading and over-reliance are considered, and what safeguards will protect learning outcomes. Mr Desmond Lee replied that MOE prov...

Policy Signal: This signals that Singapore's higher-education AI policy relies on institution-level governance and curriculum/assessment adjustments, rather than centralised MOE control over how IHLs adopt or manage AI tools.
Open digest, stances, and transcript

Ms He Ting Ru asked the Minister for Education what oversight role MOE plays when institutes of higher learning introduce free premium AI access for students, how risks such as cognitive offloading and over-reliance are considered, and what safeguards will protect learning outcomes. Mr Desmond Lee replied that MOE provides guidelines to IHLs, which have institutional policies with guardrails against misuse; IHLs review curricula, pedagogy and assessment to manage these risks, ban AI use where independent mastery must be shown, redesign assessments (e.g. presentations and projects) where AI is allowed, and train students in AI's limitations.

Key Points
  • • MOE provides guidelines to IHLs on using AI in teaching and assessment.
  • • IHLs set institutional policies under these guidelines, with guardrails against AI misuse and harm to learning.
  • • IHLs review curricula, pedagogy and assessment practices to address risks like cognitive offloading and overreliance.
  • • AI use is banned where students must demonstrate independent mastery of concepts.
Government Position
The Government said MOE manages AI use in IHLs through guidelines and institution-led policies, relying on curriculum, pedagogy and assessment reforms to manage risk, without committing to direct approval or uniform central control over IHLs' free AI access plans.
Questioning Position
Ms He Ting Ru was concerned that IHLs' free premium AI access could lead to cognitive offloading and over-reliance among students, harming learning outcomes.
"AI use is prohibited where students are required to demonstrate independent mastery of concepts and understanding."
Original transcript excerpt
Ms He Ting Ru asked the Minister for Education about MOE's oversight role when institutes of higher learning introduce free premium AI access for students, the considerations made regarding risks like cognitive offloading and over-reliance, and the safeguards against harm to learning outcomes. Mr Desmond Lee replied that MOE provides guidelines on AI use in education and assessment, and all IHLs have institutional policies in line with these guidelines, with guardrails against misuse. He said IHLs review curricula, pedagogy and assessment practices to address such risks, prohibiting AI use where students must demonstrate independent mastery. Where AI use is allowed, he said assessments are redesigned to test knowledge, judgement and application, such as through presentations and projects, and IHLs train students to understand AI's limitations and use it discerningly.
15 Parliament Mild scrutiny

Test Parameters and Safety Settings for Safe Launch of Driverless Ride-hailing Service in Singapore

Assoc Prof Jamus Jerome Lim asked the Minister for Transport about Waymo's driverless ride-hailing service targeted for 2028, specifically what intervention-free distance and maximum disengagement rate LTA's Deployment Readiness Assessment requires before approval, and whether LTA will publish operators' disengagement,...

Policy Signal: This signals that Singapore's approach to regulating autonomous vehicles relies on a framework-based, context-dependent safety assessment rather than published quantitative thresholds, with data transparency still under study rather than committed.
Open digest, stances, and transcript

Assoc Prof Jamus Jerome Lim asked the Minister for Transport about Waymo's driverless ride-hailing service targeted for 2028, specifically what intervention-free distance and maximum disengagement rate LTA's Deployment Readiness Assessment requires before approval, and whether LTA will publish operators' disengagement, incident and crash data. Minister Jeffrey Siow replied that AVs must demonstrate safe and reliable operation within their intended conditions before carrying passengers with a safety operator on board, without giving specific numeric thresholds, and said operators must report incidents to LTA and the Traffic Police, with MOT and LTA looking into publishing more AV data regularly.

Key Points
  • • Under LTA's Deployment Readiness Assessment framework, AVs must demonstrate they can operate safely and reliably within their intended operating conditions before being allowed to carry passengers with a safety operator on board.
  • • The assessment also considers factors such as operating environments and the level of public confidence and acceptance.
  • • AV operators are required to report incidents involving third parties or property damage.
  • • LTA and the Traffic Police will investigate each incident.
Government Position
The Government said AVs must meet safety and reliability standards under LTA's framework before carrying passengers, and that it is looking into publishing more operational data regularly, but it did not give specific intervention-free distance or disengagement rate thresholds, nor commit to a specific arrangement for publishing each operator's disengagement, incident and crash data.
Questioning Position
Jamus Jerome Lim's concern was the lack of clear, quantifiable safety thresholds and transparency around operational data for driverless ride-hailing services.
"Under the Land Transport Authority's (LTA's) Deployment Readiness Assessment framework, all autonomous vehicles (AV) operating on public roads must demonstrate that they can operate safely and reliably within their intended operating conditions before they are allowed to carry passengers with a safety operator on board."
Original transcript excerpt
Assoc Prof Jamus Jerome Lim asked the Minister for Transport, regarding Waymo's driverless ride-hailing service targeted for 2028, what intervention-free distance and maximum disengagement rate must be demonstrated under LTA's Deployment Readiness Assessment before driverless operations are approved, and whether LTA will publish each operator's disengagement, incident and crash data before and after approval. Minister Jeffrey Siow replied that under LTA's Deployment Readiness Assessment framework, all AVs operating on public roads must demonstrate safe and reliable operation within their intended operating conditions before being allowed to carry passengers with a safety operator on board. He added that other factors, such as operating environments and the level of public confidence and acceptance, are also considered. He said AV operators are required to report incidents involving third parties or property damage, and that LTA and the Traffic Police will investigate each incident. He concluded that the Ministry of Transport and LTA are looking into regularly publishing more data related to AV operations.
15 Parliament Mild scrutiny

Regulations for Use of Smart Glasses with AI Capabilities by Public Service Officers

Ms Hany Soh asked the Prime Minister and Minister for Finance whether the Government considers it necessary to ban or restrict public service officers' use of AI-enabled smart glasses at work, to prevent breaches of the Official Secrets Act 1935. Mr Chan Chun Sing (for the Prime Minister) replied that existing laws and...

Policy Signal: This signals that Singapore's approach is to manage new devices like AI-enabled smart glasses under existing laws and conduct frameworks rather than issuing device-specific rules, while leaving room to adjust safeguards as technology evolves.
Open digest, stances, and transcript

Ms Hany Soh asked the Prime Minister and Minister for Finance whether the Government considers it necessary to ban or restrict public service officers' use of AI-enabled smart glasses at work, to prevent breaches of the Official Secrets Act 1935. Mr Chan Chun Sing (for the Prime Minister) replied that existing laws and safeguards, including rules on photography and recording, already apply to AI-enabled smart glasses, and that officers must comply with the Public Service Code of Conduct and the Official Secrets Act. He added that officers must exercise due care regardless of the device used, that violators face legal action or disciplinary proceedings, and that safeguards will continue to be reviewed as technology evolves.

Key Points
  • • The Ministry of Digital Development and Information has explained in Parliamentary Q&As this year that existing laws and safeguards, including rules on photography and audio/video recording, apply to AI-enabled smart glasses.
  • • The Public Service Code of Conduct requires officers to safeguard the confidentiality of official information.
  • • Officers must comply with the Official Secrets Act 1935 and Government security requirements.
  • • Officers must exercise due care and must not improperly record, retain or disclose classified information, whether using smart glasses, mobile phones or other electronic devices.
Government Position
The Government considers that existing laws, security requirements and the Public Service Code of Conduct already address the risks posed by AI-enabled smart glasses, and it did not announce a specific ban or restriction, instead stressing officer compliance with existing rules.
Questioning Position
The questioner was concerned that public service officers' use of AI-enabled smart glasses at work could raise the risk of breaches of the Official Secrets Act and leaks of classified information.
"Public officers are expected to exercise due care and must not improperly record, retain or disclose classified information."
Original transcript excerpt
Ms Hany Soh asked the Prime Minister and Minister for Finance whether the Government considers it necessary to ban or restrict public service officers' use of AI-enabled smart glasses at work, in order to prevent or minimise breaches of the Official Secrets Act 1935. Mr Chan Chun Sing, replying for the Prime Minister, said the Government takes the protection of official information seriously. He noted that the Ministry of Digital Development and Information had already explained this year that existing laws and safeguards, including rules on photography and recording, apply to AI-enabled smart glasses. He added that the Public Service Code of Conduct requires officers to safeguard confidential information and comply with the Official Secrets Act and Government security requirements. Officers must exercise due care and must not improperly record, retain or disclose classified information, regardless of the device used. He concluded that officers who breach the rules will face legal action or disciplinary proceedings, and that safeguards will continue to be reviewed as technology and risks evolve.
15 Parliament Mild scrutiny

Support for Taxi and Private Hire Vehicle Drivers to Transition to New Careers with Waymo's Announced AV Ride-hail Service

Assoc Prof Terence Ho, Assoc Prof Jamus Jerome Lim, Ms Hany Soh and Ms Yeo Wan Ling asked Minister for Transport Jeffrey Siow whether the expansion of autonomous vehicles (AVs) would hurt taxi and private hire car drivers' livelihoods, and about take-up of career conversion and training schemes, monitoring indicators,...

Policy Signal: This shows Singapore's Government taking a gradual, demand-led approach to AV commercialisation, favouring career conversion programmes and salary support as the driver safeguard mechanism rather than direct controls such as an AV cap, with policy currently tilted toward enabling adoption alongside labour transition support.
Open digest, stances, and transcript

Assoc Prof Terence Ho, Assoc Prof Jamus Jerome Lim, Ms Hany Soh and Ms Yeo Wan Ling asked Minister for Transport Jeffrey Siow whether the expansion of autonomous vehicles (AVs) would hurt taxi and private hire car drivers' livelihoods, and about take-up of career conversion and training schemes, monitoring indicators, and whether a cap should be placed on AV numbers. Siow replied that there are currently only 15 AVs operating in Punggol, a very small share of the 72,000 active taxi and private hire drivers, so no near-term impact on driver livelihoods is expected, and the Government will not cap AV numbers. He outlined new Career Conversion Programmes for AV specialists and for point-to-point drivers moving to bus captain roles, offering up to 90% salary support with about 350 initial placements, while noting MOM does not currently track platform workers' CCP participation rate.

Key Points
  • • Singapore currently has 15 autonomous vehicles operating in Punggol, and Grab plans to expand to 50 vehicles within the next six months.
  • • Waymo will begin testing and preparations in western Singapore in 2027, aiming to start commercial service the following year (2028).
  • • By end-2028 there may be several hundred autonomous passenger vehicles, still a very small share of the 72,000 active taxi and private hire drivers.
  • • The Government has launched a Career Conversion Programme (CCP) for autonomous vehicle specialists and a point-to-point driver to bus captain CCP pathway, giving participating employers up to 90% salary support, with about 350 placements catered for a start.
Government Position
The Government's position is that AV deployment is still at a very small scale and will not hurt taxi and private hire driver livelihoods in the near term, so it will not cap AV numbers, relying instead on CCPs and up to 90% salary support as pre-emptive measures. However, it did not commit to tracking platform workers' CCP participation rate, nor did it set concrete conversion or training take-up targets for the new manpower transition package.
Questioning Position
The MPs were concerned that the gradual expansion of autonomous vehicles would eventually hurt taxi and private hire drivers' livelihoods, and questioned whether existing transition support had clear monitoring indicators, targets, or safeguards such as a cap on AV numbers.
"Prime Minister Lawrence Wong in his National Day Rally had said that we will not let adoption run ahead of our ability to retrain and support affected drivers and help them move into new jobs."
Original transcript excerpt
Four MPs — Assoc Prof Terence Ho, Assoc Prof Jamus Jerome Lim, Ms Hany Soh and Ms Yeo Wan Ling — asked Minister for Transport Jeffrey Siow about the impact of AV expansion, including Waymo's entry, on taxi and private hire car drivers, covering career conversion take-up, monitoring indicators, and whether a cap on AVs is needed. Siow replied that AV deployment is at an early stage, with 15 vehicles in Punggol today, Grab adding up to 50 within six months, and Waymo starting testing in western Singapore in 2027 before commercial service in 2028. He said that even by end-2028 AVs would remain a small share of the 72,000 active drivers, so no immediate impact on jobs is expected, and the Government will not cap AV numbers given growing transport demand and an ageing driver workforce. He cited PM Lawrence Wong's pledge that AV adoption will not outpace support for affected drivers, and outlined two new Career Conversion Programmes offering employers up to 90% salary support, with about 350 placements initially and room to scale up if demand rises. He noted MOM does not currently track platform workers' CCP participation rate.
15 Parliament Mild scrutiny

Impact of Foreign AI Chip Export Controls and Remote Computing Access Restrictions on Singapore's Data Centre and Cloud Services Sectors and Mitigation Measures

Mr Saktiandi Supaat asked the Minister for Digital Development and Information whether tighter foreign export controls on AI chips and restrictions on remote access to overseas computing infrastructure would affect Singapore's data centre and cloud services sectors, and what mitigation steps the Government would take....

Policy Signal: This signals that the Singapore Government is taking a cautious, watch-and-engage approach to external developments such as AI chip export controls and computing access restrictions, prioritising industry engagement over pre-emptive intervention.
Open digest, stances, and transcript

Mr Saktiandi Supaat asked the Minister for Digital Development and Information whether tighter foreign export controls on AI chips and restrictions on remote access to overseas computing infrastructure would affect Singapore's data centre and cloud services sectors, and what mitigation steps the Government would take. Mrs Josephine Teo replied that the Government is monitoring these developments and engaging companies on potential impact, and will consider appropriate measures if necessary.

Key Points
  • • The Government is monitoring developments on export controls on AI chips.
  • • The Government is also tracking restrictions on remote access to overseas computing resources.
  • • The Government is engaging companies to assess the potential impact on Singapore's data centre and cloud services sectors.
  • • If necessary, the Government will consider appropriate measures to mitigate the impact on Singapore-based companies.
Government Position
The Government is currently in a monitoring and engagement posture, without announcing specific measures, committing only to consider action if necessary.
Questioning Position
The MP was concerned that tighter foreign export controls on AI chips and restrictions on remote access to overseas computing infrastructure could affect Singapore's data centre and cloud services sectors.
"We are monitoring developments on export controls on artificial intelligence (AI) chips and restrictions on remote access to computing resources."
Original transcript excerpt
Mr Saktiandi Supaat asked the Minister for Digital Development and Information whether tighter foreign export controls on AI chips, and restrictions on remote access to overseas computing infrastructure, would affect Singapore's data centre and cloud services sectors, how they would do so, and what steps the Government would take to mitigate any impact. Mrs Josephine Teo replied that the Government is monitoring developments on export controls on AI chips and restrictions on remote access to computing resources. She said the Government is also engaging companies on the potential impact, if any, on Singapore's data centre and cloud services sectors. She added that if necessary, the Government will consider appropriate measures to mitigate the impact of these developments on Singapore-based companies.
15 Parliament Mild scrutiny

AI-detected Bus Lane Offence Accuracy Assessment, Officer Review Requirements and Motorist Appeal Process

Mr Low Wu Yang Andre asked the Minister for Transport how LTA calculated the reported 90% trial accuracy of its AI bus lane encroachment detection system, whether every AI-detected offence would be reviewed by an officer before enforcement, and how motorists could challenge errors. Mr Jeffrey Siow replied that the syst...

Policy Signal: This shows Singapore taking a gradual approach to deploying AI in enforcement, keeping human review as a safeguard for now and only expanding the AI's role as accuracy improves.
Open digest, stances, and transcript

Mr Low Wu Yang Andre asked the Minister for Transport how LTA calculated the reported 90% trial accuracy of its AI bus lane encroachment detection system, whether every AI-detected offence would be reviewed by an officer before enforcement, and how motorists could challenge errors. Mr Jeffrey Siow replied that the system analysed over 800 hours of bus camera footage over three months, captured more than 450 encroachments, correctly detected 415 (about 90%) with 257 false positives, and that all AI detections are still manually reviewed before enforcement, with appeals assessed by human officers as with any other traffic offence.

Key Points
  • • The bus lane AI system analysed over 800 hours of bus camera footage over three months.
  • • It captured more than 450 encroachments in total and correctly detected 415, about 90% accuracy.
  • • The system also produced 257 false-positive cases.
  • • LTA will keep working with the vendor to refine the tools and reduce false positives, aiming to reduce human oversight over time.
Government Position
The Government maintains human officer review of every AI-detected violation and all appeals for now, and did not commit to a timeline for removing human oversight, only saying this will be reduced as the technology matures.
Questioning Position
Mr Low Wu Yang Andre's concern was how the AI's accuracy rate is calculated, its error rates, and whether motorists have an effective way to challenge wrong detections.
"Meanwhile, bus lane violations detected by the AI system will still be manually reviewed before enforcement action is taken."
Original transcript excerpt
Mr Low Wu Yang Andre asked the Minister for Transport how LTA calculated the reported 90% trial accuracy of its AI bus lane encroachment detection system, including sample size and false-positive/false-negative rates, whether every AI-detected offence would be reviewed by an officer before enforcement, and how motorists could challenge an erroneous detection. Mr Jeffrey Siow replied that the AI was trialled across several use cases, including bus lane encroachments, road defects and road works. For bus lanes, the system analysed over 800 hours of footage across three months, capturing more than 450 encroachments, of which it correctly detected 415 (about 90%), while also flagging 257 false positives. He said LTA will keep working with the vendor to cut false positives and reduce the need for human oversight over time, but for now every AI-detected bus lane violation is manually reviewed before enforcement. Motorists can contest or appeal a notice as with any other traffic offence, and such appeals continue to be assessed by human officers. LTA plans to expand bus camera and AI use across more public bus services as the technology matures.
15 Parliament Mild scrutiny

Tracking of Adverse Outcomes Among Retained Workers Following AI-related Job Redesign, and Inclusion of Findings in AI Adoption Impact Assessment

Mr Gabriel Lam asked the Acting Minister for Manpower whether the Ministry tracks workers who remain employed after AI-related job redesign but see reductions in wages, working hours, or job seniority, and whether such outcomes would be included in assessing AI's impact on workers. Ms Jasmin Lau replied that MOM's AI S...

Policy Signal: This signals that Singapore currently monitors AI's impact on workers mainly through firm-level surveys and limited programme-level tracking, with outcomes such as working hours and job seniority not yet covered, indicating the monitoring framework is still being built out.
Open digest, stances, and transcript

Mr Gabriel Lam asked the Acting Minister for Manpower whether the Ministry tracks workers who remain employed after AI-related job redesign but see reductions in wages, working hours, or job seniority, and whether such outcomes would be included in assessing AI's impact on workers. Ms Jasmin Lau replied that MOM's AI Survey captures firm-level effects of AI adoption on job redesign, new job creation, and redeployment, but does not cover individual workers' experiences; under schemes like the Workforce Development Grant (Job Redesign+), MOM tracks wages and employment retention but not changes in working hours or job seniority. She added that MOM will keep strengthening its monitoring frameworks and indicators as AI adoption deepens.

Key Points
  • • MOM's Artificial Intelligence Survey gathers firm-level information on how AI adoption affects job redesign, creation of new AI-related jobs, and redeployment of workers.
  • • The survey does not cover individual workers' experience, only comparing worker outcomes and workforce trends between AI-adopting and non-adopting firms.
  • • Under the Workforce Development Grant (Job Redesign+), MOM tracks worker outcomes such as wages and employment retention.
  • • MOM does not track changes in working hours or job seniority.
Government Position
The Government currently tracks a limited set of outcomes—such as wages and retention—through firm-level surveys and specific workforce schemes, but has not committed to tracking changes in working hours or job seniority, nor to systematically tracking individual workers' outcomes.
Questioning Position
Mr Gabriel Lam's question reflects concern that workers who remain employed after AI-related job redesign may still bear hidden costs such as reduced wages, working hours, or job seniority.
"We do not track changes in working hours or job seniority."
Original transcript excerpt
Mr Gabriel Lam asked the Acting Minister for Manpower whether MOM tracks workers who remain employed after AI-related job redesign but experience reductions in wages, working hours, or job seniority, and whether such outcomes would be included in assessments of AI's impact on Singapore workers. Ms Jasmin Lau replied that MOM's Artificial Intelligence Survey asks employers about how AI adoption affects job redesign, creation of new AI-related jobs, and redeployment at the firm level, comparing outcomes between AI-adopting and non-adopting firms, but it does not cover individual workers' experiences. She said that at the programme level, MOM monitors workforce transformation schemes such as the Workforce Development Grant (Job Redesign+), tracking wages and employment retention, but not changes in working hours or job seniority. She added that as AI adoption deepens, MOM will continue strengthening its measurement frameworks and expand the range of indicators used to monitor how job redesign and workforce transformation affect worker outcomes.
15 Parliament Information

Adequacy of AI Computing Resources for Local Enterprises through Domestic Facilities and Overseas Cloud Services

Mr Saktiandi Supaat asked Mrs Josephine Teo, Minister for Digital Development and Information, whether the Government assesses the adequacy of AI computing resources available to local enterprises through domestic facilities and overseas cloud services, and whether any shortfalls are projected through 2030. Mrs Teo rep...

Policy Signal: The response signals a pragmatic monitor-rather-than-forecast approach to AI compute policy, prioritising sustainable local data centre growth and diversified overseas compute sources over rigid long-term supply planning.
Open digest, stances, and transcript

Mr Saktiandi Supaat asked Mrs Josephine Teo, Minister for Digital Development and Information, whether the Government assesses the adequacy of AI computing resources available to local enterprises through domestic facilities and overseas cloud services, and whether any shortfalls are projected through 2030. Mrs Teo replied that local enterprises' AI computing needs are currently met through a combination of local and overseas data centre capacity, with industry feedback indicating sufficient supply, but that demand and supply conditions have not matured enough to project future shortfalls, so the Government will focus on monitoring market conditions and maintaining diversified overseas compute sources.

Key Points
  • • Data centres are a key enabler of the digital economy, supporting AI workloads and digital services for enterprises and society.
  • • Local enterprises' AI computing needs are currently met through a combination of local and overseas data centre capacity.
  • • Industry feedback on market availability and price indicators suggests current supply is sufficient to meet existing demand.
  • • The Government will continue to facilitate sustainable growth of local data centre capacity while maintaining diversified overseas compute sources, to meet varying needs for latency, resilience, security and data governance.
Government Position
The Government maintains that current local and overseas compute supply is sufficient for enterprise needs, and will keep expanding local data centre capacity sustainably while diversifying overseas sources, but it declined to project or commit to a specific forecast of AI compute shortfalls through 2030.
Questioning Position
Mr Saktiandi Supaat's question reflects concern about whether local enterprises could face a shortage of AI computing resources in the medium term, particularly any gap projected through 2030.
"Compute demand and supply conditions have not matured and are difficult to project."
Original transcript excerpt
Mr Saktiandi Supaat asked the Minister for Digital Development and Information whether the Government assesses the adequacy of AI computing resources available to local enterprises through domestic facilities and overseas cloud services, how it does so, and whether any local shortfalls are projected through 2030. Mrs Josephine Teo replied that data centres are a key enabler of Singapore's digital economy, supporting AI workloads and digital services. She said local enterprises' AI computing needs are met through a combination of local and overseas data centre capacity, and that industry feedback on market availability and price indicators suggests current supply is sufficient. She added that the Government will continue to facilitate sustainable growth of local data centre capacity while maintaining access to diversified overseas compute sources, to address varying needs for latency, resilience, security and data governance. On future shortfalls, she said compute demand and supply conditions have not matured and are difficult to project, so the Government will focus on closely monitoring demand and market conditions and keeping Singapore connected to multiple compute sources.
15 Parliament Mild scrutiny

Licensing Regime and Road Traffic Regulations for Autonomous Vehicles Operating as Ride-hailing Vehicles from 2028

Mr Chua Kheng Wee Louis asked the Minister for Transport about the licensing regime and road traffic regulations for autonomous vehicles (AVs) operating as ride-hailing vehicles from 2028, how these would differ from rules for human-driven private hire vehicles, and whether the Ministry would revise legislation ahead o...

Policy Signal: This signals the Government is moving from an ad hoc regulatory sandbox toward a formal legislative framework for autonomous vehicles, drawing on overseas models to prepare for driverless ride-hailing.
Open digest, stances, and transcript

Mr Chua Kheng Wee Louis asked the Minister for Transport about the licensing regime and road traffic regulations for autonomous vehicles (AVs) operating as ride-hailing vehicles from 2028, how these would differ from rules for human-driven private hire vehicles, and whether the Ministry would revise legislation ahead of fully driverless ride-hailing. Mr Jeffrey Siow replied that AV deployment today is regulated under a sandbox set out in the Road Traffic (Autonomous Motor Vehicles) Rules 2017, and that a more holistic AV legislative framework is being developed, with the Bill likely tabled in the second half of 2027.

Key Points
  • • AV deployment today is regulated under the sandbox set out in the Road Traffic (Autonomous Motor Vehicles) Rules 2017.
  • • Applicants who wish to provide revenue passenger services must get LTA approval after safety and operational assessments.
  • • The Ministry is developing a more holistic AV legislative framework to set out the licensing regime and safety regulations for AVs.
  • • The new framework will draw on existing laws such as the Road Traffic Act and similar laws in other jurisdictions, such as the UK.
Government Position
The Government said current AV deployments are approved case-by-case under a regulatory sandbox, and it is developing a more holistic legislative framework, with the Bill likely tabled in the second half of 2027, but it did not specify how the new regulations will differ from current private-hire vehicle rules.
Questioning Position
Mr Chua's concern was whether the licensing regime and road traffic rules would be ready, and how they would differ from current rules for human-driven private hire vehicles, ahead of fully driverless ride-hailing from 2028.
"We will table the Bill and consequential amendments to other legislations likely in second half of 2027."
Original transcript excerpt
Mr Chua Kheng Wee Louis asked the Minister for Transport about the licensing regime and road traffic regulations for autonomous vehicles (AVs) operating as ride-hailing vehicles from 2028, how these would differ from rules for human-driven private hire vehicles, and whether the Ministry would revise road transport legislation ahead of fully driverless ride-hailing. Mr Jeffrey Siow replied that AV deployment today is regulated under a sandbox set out in the Road Traffic (Autonomous Motor Vehicles) Rules 2017, requiring LTA approval after safety and operational assessments for revenue passenger services. He said the Ministry is developing a more holistic AV legislative framework covering licensing and safety regulations, drawing on the Road Traffic Act and overseas laws such as the UK's. He added that the Bill and consequential amendments would likely be tabled in the second half of 2027.
15 Parliament Mild scrutiny

Assessment of Singapore's Digital Systems' Resilience Against Agentic AI Behaviours

Ms Valerie Lee, Mr Saktiandi Supaat, Mr Fadli Fawzi and other MPs asked the Minister for Digital Development and Information about the Singapore AI Safety Institute's testing capabilities, the follow-up to Singapore's endorsement of the international call to control frontier AI models, and safeguards against agentic AI...

Policy Signal: This signals that Singapore is taking a cautious, incremental approach to frontier AI governance, prioritising technical evaluation capacity and international collaboration over mandatory access or regulatory requirements for frontier AI developers.
Open digest, stances, and transcript

Ms Valerie Lee, Mr Saktiandi Supaat, Mr Fadli Fawzi and other MPs asked the Minister for Digital Development and Information about the Singapore AI Safety Institute's testing capabilities, the follow-up to Singapore's endorsement of the international call to control frontier AI models, and safeguards against agentic AI risks in the Public Service. Mrs Josephine Teo replied that Singapore takes a risk-based, multi-layered approach, that AISI is building technical capabilities to evaluate advanced AI systems, and that no agency has so far received a report of a cyberattack involving an unsupervised AI agent.

Key Points
  • • IMDA's Model AI Governance Framework for Agentic AI and Starter Kit for Testing LLM-Based Applications guide risk management, and the Global AI Assurance Sandbox tests the safeguards of generative and agentic AI.
  • • The Singapore AI Safety Institute (AISI) is building technical capabilities to evaluate advanced AI systems and develop testing and assurance methods.
  • • So far, no government agency has received a report of a cyber attack involving an unsupervised AI agent.
  • • Singapore has endorsed the international call for stronger safeguards on frontier AI models, with the National AI Council providing strategic direction.
Government Position
The Government maintains a risk-based, multi-layered governance approach and will continue to study whether new requirements are needed for high-risk uses. However, it did not commit to making AISI's evaluations a mandatory gate for deploying frontier AI systems, nor does it require frontier AI developers to grant model access.
Questioning Position
The MPs voiced concern that agentic AI could escape containment, questioning whether existing Public Service safeguards and AISI's capabilities are sufficient to address the safety and even extinction-level risks posed by frontier AI.
"To the question by Mr Fadli Fawzi, no agency has received a report of a cyber attack against its systems involving an unsupervised AI agent so far."
Original transcript excerpt
Ms Valerie Lee, Mr Saktiandi Supaat and Mr Fadli Fawzi asked the Minister for Digital Development and Information about AISI's evaluation capabilities compared with other countries, the follow-up to Singapore's endorsement of the international call to control frontier AI models, whether the National AI Council has assessed extinction-risk warnings, and whether Public Service safeguards against agentic AI are robust enough, including any reported cyberattacks by unsupervised AI agents. Mrs Josephine Teo replied that Singapore uses a risk-based, multi-layered approach: calibrating safeguards to risk, strengthening defences against unintended AI actions and misuse, building capabilities to detect risks before and after deployment, and working with international and industry partners. She said AISI is building technical capabilities to evaluate advanced AI systems, is a founding member of the International Network of Advanced AI Measurement, Evaluation and Science, and helped develop the Singapore Consensus on Global AI Safety Research Priorities. She confirmed that no agency has so far received a report of a cyberattack involving an unsupervised AI agent, and that the National AI Council provides strategic direction while agencies implement specific measures. She added that Singapore does not require frontier AI developers to grant model access, preferring collaborative information-sharing instead.
15 Parliament Mild scrutiny

Guidelines for Institutes of Higher Learning on Use of AI-writing Detection Tools

Mr Melvin Yong Yik Chye asked the Minister for Education whether MOE intends to set common guidelines for Institutes of Higher Learning on AI writing detection tools, and whether they would include safeguards so that students know how the tools are used and are not penalised solely on AI detection scores. Minister Mr D...

Policy Signal: MOE is taking a decentralised line on AI detection tools, leaving choices to each institution with human judgement as the backstop rather than setting common rules. Three MPs filing questions on the same topic shows fairness concerns over AI misdetection have reached Parliament, but there is no sign yet of centralised policy.
Open digest, stances, and transcript

Mr Melvin Yong Yik Chye asked the Minister for Education whether MOE intends to set common guidelines for Institutes of Higher Learning on AI writing detection tools, and whether they would include safeguards so that students know how the tools are used and are not penalised solely on AI detection scores. Minister Mr Desmond Lee, also addressing questions from Ms Lee Hui Ying and Ms Cassandra Lee, replied that all IHLs have policies on AI use in assessment and academic work, aligned with MOE guidance that AI use should support learning and that guardrails uphold academic integrity. IHLs clearly inform students whether and how AI may be used, and have processes to appeal assessment and disciplinary outcomes, including suspected unauthorised AI use; students can respond to allegations before disciplinary action. IHLs assess whether detection tools add value; where used, detection scores alone do not determine misconduct. Educators review the work, engage the student, may request drafts or earlier work as evidence of the learning process, and remain responsible for the final grade.

Key Points
  • • All IHLs have policies governing AI use in assessment and academic work, aligned with MOE guidance that AI should support learning and guardrails should uphold academic integrity
  • • IHLs clearly inform students whether and how AI may be used for each assessment and assignment
  • • IHLs have appeal processes covering suspected unauthorised AI use, and students can respond to allegations before disciplinary action
  • • Each IHL assesses whether AI detection tools add value; where used, detection scores alone do not determine academic misconduct
Government Position
The Government considers that IHLs already have AI-use policies, disclosure practices and appeal processes, and that detection scores never decide misconduct on their own. The Minister did not commit to common cross-IHL guidelines on AI detection tools, leaving each institution to decide whether to use them.
Questioning Position
Questioner Mr Melvin Yong worries that IHLs use AI writing detection tools without common rules, so students may not know how the tools are applied and could be penalised on detection scores alone.
"Where such tools are used, detection scores alone do not determine academic misconduct."
Original transcript excerpt
Mr Melvin Yong Yik Chye asked the Minister for Education whether the Ministry intends to establish common guidelines for Institutes of Higher Learning on the use of AI writing detection tools, and whether such guidelines would include safeguards so that students are informed of how the tools are used and are not penalised solely on the basis of AI detection scores. Mr Desmond Lee replied in writing, also covering related questions from Ms Lee Hui Ying and Ms Cassandra Lee. He said all IHLs have policies governing AI use in assessment and academic work, aligned with MOE guidance that AI use should support learning and that guardrails uphold academic integrity. IHLs clearly inform students whether and how AI may be used, as requirements vary across assessments and assignments. They also have established processes for students to appeal assessment and disciplinary outcomes, including suspected unauthorised AI use, and students can respond to any allegation before disciplinary action is taken. IHLs assess whether AI detection tools add value. Where such tools are used, detection scores alone do not determine academic misconduct. Educators review the student's work, engage the student and, where necessary, request evidence of the learning process such as drafts or earlier work. Educators remain responsible for the final grading decision.
15 Parliament Information

Usage and Adoption of Voice-to-text, Speech Recognition and Multimodal AI Tools

Mr Edward Chia Bing Hui asked the Minister for Digital Development and Information whether the Government tracks usage and adoption rates of voice-to-text, speech recognition and multimodal AI tools, including Singapore-developed models such as SEA-LION and MERaLiON, among seniors accessing digital Government and commu...

Policy Signal: Home-grown models SEA-LION and MERaLiON are moving from research into social service settings, but the absence of any central adoption metric shows that Singapore's inclusive-AI policy currently leans on showcase deployments rather than systematic measurement of outcomes.
Open digest, stances, and transcript

Mr Edward Chia Bing Hui asked the Minister for Digital Development and Information whether the Government tracks usage and adoption rates of voice-to-text, speech recognition and multimodal AI tools, including Singapore-developed models such as SEA-LION and MERaLiON, among seniors accessing digital Government and community services, and if so, what the rates are. Minister Josephine Teo replied that the Government does not centrally track these adoption rates among seniors, as the capabilities are deployed across multiple platforms, services and devices. The Government has supported the development of SEA-LION and MERaLiON to build AI capabilities that better reflect Singapore's and Southeast Asia's linguistic and cultural context, and supports their use where they improve accessibility and service delivery. For example, MERaLiON's empathetic and multilingual speech capabilities power the AI voice assistants of Lions Befrienders, a Social Service Agency primarily serving seniors, helping caregivers understand seniors' needs better and provide more timely assistance.

Key Points
  • • Because the capabilities are deployed across multiple platforms, services and devices, the Government does not centrally track seniors' adoption rates of voice-to-text, speech recognition and multimodal AI tools.
  • • The Government has supported the development of SEA-LION and MERaLiON to build AI capabilities that better reflect Singapore's and Southeast Asia's linguistic and cultural context.
  • • The Government supports their use where they can improve accessibility and service delivery to enhance the lives of Singaporeans, including seniors.
  • • MERaLiON's empathetic and multilingual speech capabilities are being used to power the AI voice assistants of Social Service Agency Lions Befrienders, engaging seniors in more natural conversations.
Government Position
The Government said it does not centrally track seniors' adoption of voice and multimodal AI tools, so it provided no figures. Its approach is to support the use of SEA-LION and MERaLiON where they improve accessibility and service delivery, citing Lions Befrienders' AI voice assistants as an example.
Questioning Position
Questioner Mr Edward Chia asked whether the Government knows how far seniors using digital Government and community services have adopted voice and multimodal AI tools, including locally developed models, and at what rates.
"This helps caregivers understand seniors' needs better and provide more timely assistance."
Original transcript excerpt
Mr Edward Chia Bing Hui asked the Minister for Digital Development and Information whether the Government tracks the usage and adoption rates of voice-to-text, speech recognition and multimodal AI tools among seniors accessing digital Government and community services, including Singapore-developed models such as the Southeast Asian Languages in One Network (SEA-LION) and Multimodal Empathetic Reasoning and Learning in One Network (MERaLiON), and if so, what the current rates are. Mrs Josephine Teo replied that the Government does not centrally track the adoption rates of these tools among seniors, as the capabilities are deployed across multiple platforms, services and devices. She said the Government has supported the development of SEA-LION and MERaLiON to build AI capabilities that better reflect Singapore's and Southeast Asia's linguistic and cultural context, and supports their use where they can improve accessibility and service delivery to enhance the lives of Singaporeans, including seniors. As an example, MERaLiON's empathetic and multilingual speech capabilities are being used to power the AI voice assistants of Lions Befrienders, a Social Service Agency primarily serving seniors, so that they can engage seniors in more natural conversations. This helps caregivers understand seniors' needs better and provide more timely assistance. No adoption figures were provided.
15 Parliament Mild scrutiny

Funding for AI-Generated Singapore National Day Films and Policy on Supporting Gen-AI Creative Work

Workers' Party MP Mr Fadli Fawzi asked the Minister for Culture, Community and Youth in a written question whether the National Arts Council or any other Government agency funded the two Singapore-made films created using AI that premiered on National Day, and what the Government's position is on financially supporting...

Policy Signal: Singapore is keeping cultural funding technology-neutral towards generative AI, with neither dedicated support nor a bar, so whether AI-made work is funded will depend on each scheme's existing criteria rather than a separate AI policy.
Open digest, stances, and transcript

Workers' Party MP Mr Fadli Fawzi asked the Minister for Culture, Community and Youth in a written question whether the National Arts Council or any other Government agency funded the two Singapore-made films created using AI that premiered on National Day, and what the Government's position is on financially supporting creative work that uses generative AI. Mr David Neo replied for the Ministry of Culture, Community and Youth that no Government funding was provided for "Trace Project" and "Bersama Majulah", the two AI-generated films that premiered on National Day 2026. The use of generative AI does not, in itself, determine whether a project may receive Government funding; funding agencies assess projects against the objectives and assessment criteria of their respective schemes.

Key Points
  • • No Government funding was provided for "Trace Project" and "Bersama Majulah", the two AI-generated films that premiered on National Day 2026.
  • • The use of generative AI does not, in itself, determine whether a project may receive Government funding.
  • • Funding agencies assess projects against the objectives and assessment criteria of their respective funding schemes.
Government Position
The Government takes a technology-neutral stance on creative work using generative AI: using AI does not in itself decide funding, and projects are judged against each scheme's objectives and criteria. It confirmed it did not fund the two National Day AI films and set out no funding policy specific to generative AI work.
Questioning Position
Questioner Mr Fadli Fawzi (Workers' Party) wanted to know whether public money went into the National Day AI-generated films and asked the Government to state its position on funding creative work that uses generative AI.
"The use of generative AI does not, in itself, determine whether a project may receive Government funding."
Original transcript excerpt
Mr Fadli Fawzi asked the Minister for Culture, Community and Youth whether any funding was provided by the National Arts Council or any other Government agency for the two Singapore-made films created using AI that premiered on National Day, and what the Government's position is on providing financial support for creative work that uses generative AI. In a written reply, Mr David Neo said that no funding from the Government was provided for "Trace Project" and "Bersama Majulah", the two Singapore-made AI-generated films that premiered on National Day 2026. On the broader question of policy, he said that the use of generative AI does not, in itself, determine whether a project may receive Government funding. Instead, funding agencies assess projects against the objectives and assessment criteria of their respective funding schemes. The reply therefore confirmed that neither the National Arts Council nor any other Government agency funded the two National Day films. It also set out a position under which the use of generative AI is not by itself a factor that decides funding either way, with creative projects judged on the objectives and criteria of the particular scheme they apply to.
15 Parliament Mild scrutiny

Offering Computing in Secondary Schools and Providing Institutional Support and Dedicated Curriculum and Pedagogical Resources

Workers' Party MP Mr Kenneth Tiong Boon Kiat asked the Minister for Education whether Computing can be a core secondary school subject, how many schools teach it in-house versus through the centre-based programme, what share of the cohort takes it, whether it can get its own Curriculum Planning and Development Division...

Policy Signal: MOE frames AI literacy as broad exposure for all and depth for a few: the broad layer runs through existing subjects, while Computing stays an elective for about 13% of students, with no move to lower secondary or new dedicated institutional posts in sight.
Open digest, stances, and transcript

Workers' Party MP Mr Kenneth Tiong Boon Kiat asked the Minister for Education whether Computing can be a core secondary school subject, how many schools teach it in-house versus through the centre-based programme, what share of the cohort takes it, whether it can get its own Curriculum Planning and Development Division post and Master Teacher portfolio, and whether it will be offered before upper secondary. Minister Mr Desmond Lee replied that MOE builds foundational digital and AI literacy for all students through existing subjects and programmes such as Code for Fun, while letting interested students study Computing in depth. Lower secondary students learn computational thinking through mathematics. From the 2026 Secondary 3 cohort, G1, G2 and G3 Computing are electives, and MOE has no plans to introduce Computing as a standalone subject before upper secondary. Students from over 110 schools take Computing, including students from over 40 schools taking G3 at four centres, together about 13% of the Secondary 3 cohort. MOE has dedicated Computing curriculum officers, a senior specialist, and Senior and Lead Teachers for Computing.

Key Points
  • • MOE builds foundational digital and AI literacy for all students through existing subjects and programmes such as Code for Fun, while letting interested students study Computing in depth
  • • Lower secondary students learn computational thinking through mathematics, and international benchmarking studies find them strong in it
  • • From the 2026 Secondary 3 cohort, upper secondary students can take G1, G2 or G3 Computing as an elective; MOE has no plans to introduce Computing as a standalone subject before upper secondary
  • • Students from over 110 secondary schools take Computing, including students from over 40 schools taking G3 at four centres, together about 13% of the Secondary 3 cohort
Government Position
The Government keeps its approach of building digital and AI literacy through existing subjects, with Computing as an upper secondary elective, and has no plans for a standalone Computing subject before upper secondary. The Minister did not take up the proposals to make Computing a core subject or create a dedicated division post and Master Teacher portfolio, listing only existing officers and teachers, and gave approximate rather than exact school counts.
Questioning Position
Questioner Mr Kenneth Tiong of the Workers' Party wants Computing taught earlier and more widely, as a core subject with dedicated institutional support in the Curriculum Planning and Development Division and the Master Teacher system.
"MOE has no plans to introduce Computing as a standalone subject before upper secondary level."
Original transcript excerpt
Mr Kenneth Tiong Boon Kiat asked the Minister for Education whether Computing can be offered as a core subject in secondary schools; how many secondary schools teach Computing in-house and how many via the centre-based programme; what proportion of the cohort takes Computing; whether Computing can be given its own Curriculum Planning and Development Division post and Master Teacher portfolio; and whether it will become a subject before upper secondary. Mr Desmond Lee replied in writing that MOE aims to equip all students with foundational digital and AI literacy through existing subjects and programmes such as Code for Fun, while giving interested students opportunities to study Computing in greater depth. At lower secondary level, students pick up computational thinking through mathematics, and international benchmarking studies have found them strong in it. From the 2026 Secondary 3 cohort, upper secondary students can offer G1, G2 and G3 Computing as an elective, and MOE has no plans to introduce Computing as a standalone subject before upper secondary. Students from over 110 schools take Computing, including those from over 40 schools taking G3 at four centres; together they make up about 13% of the Secondary 3 cohort. MOE has dedicated Computing curriculum officers and a senior specialist, as well as Senior Teachers and Lead Teachers for Computing.
15 Parliament Mild scrutiny

Government and Commercial Data Compromised in LiteLLM Supply Chain Attack and Measures to Prevent Recurrence

Workers' Party MP Gerald Giam Yean Song asked the Minister for Digital Development and Information what Government or commercial data in Singapore was compromised in the AI supply chain attack on LiteLLM, what remedial actions were taken, and how a recurrence will be prevented. Minister Josephine Teo replied that LiteL...

Policy Signal: Open-source AI components have become a real attack surface for Government systems; leaving companies to self-check and self-report with SingCERT guidance suggests AI supply chain security will, for now, rest mainly on each organisation's own defences rather than central monitoring.
Open digest, stances, and transcript

Workers' Party MP Gerald Giam Yean Song asked the Minister for Digital Development and Information what Government or commercial data in Singapore was compromised in the AI supply chain attack on LiteLLM, what remedial actions were taken, and how a recurrence will be prevented. Minister Josephine Teo replied that LiteLLM is widely used open-source AI software, compromised by hackers who used login details stolen in an earlier breach to add malicious code to software updates. GovTech used scanning and detection tools to identify affected agencies and informed them quickly; only one user account, supporting a small number of agencies, was compromised. The agencies changed exposed login details and checked system records, and there is no evidence that any Government data, including personal data, was stolen or compromised. The Government does not have a complete picture of the impact on commercial entities; companies should check their own systems and make required reports, and SingCERT has published an advisory. Supply chain risks cannot be removed completely, but the Government will keep improving prevention, detection and response.

Key Points
  • • Hackers used login details stolen in an earlier breach to add malicious code to software updates of the open-source AI software LiteLLM.
  • • GovTech used scanning and detection tools to identify the affected Government agencies and informed them quickly.
  • • The attack was confirmed to have compromised only one user account, which supported a small number of agencies; they changed potentially exposed login details and checked system records for unauthorised activity.
  • • There is no evidence that any Government data, including personal data held by the Government, was stolen or compromised.
Government Position
The Government said the impact on its systems was limited to one user account, with no evidence of Government data being stolen. It did not describe what commercial data was affected, saying it lacks a complete picture and that companies must check their own systems and make required reports, and acknowledged supply chain risks cannot be removed completely.
Questioning Position
Questioner Mr Gerald Giam (Workers' Party) asked what Government and commercial data in Singapore was compromised in the LiteLLM supply chain attack, what remedial action was taken and how a recurrence will be prevented.
"Attacks on software supply chains are an ongoing threat."
Original transcript excerpt
Mr Gerald Giam Yean Song asked the Minister for Digital Development and Information what types of data owned by the Government or commercial entities in Singapore were compromised in the AI supply chain attack on LiteLLM, what remedial actions were taken, and what is being done to prevent a recurrence. Mrs Josephine Teo replied that LiteLLM is widely used open-source AI software, which hackers compromised by using login details stolen in an earlier breach to add malicious code to software updates. GovTech used scanning and detection tools to identify the affected Government agencies and informed them quickly. The attack was confirmed to have compromised only one user account, which supported a small number of agencies; those agencies changed exposed login details and checked system records. There is no evidence that any Government data, including personal data held by the Government, was stolen or compromised. The Government does not have a complete picture of the impact on commercial entities; each company should check its own systems, fix any problems and make any required reports, and the Singapore Cyber Emergency Response Team has published an advisory and can help. Supply chain attacks are an ongoing threat whose risks cannot be removed completely, but the Government will keep improving how it prevents, detects and responds to them.
15 Parliament Mild scrutiny

Protecting Against Unauthorised AI-generated Likeness in Advertisements and Operationalising Online Safety Commission's Mandate over Inauthentic Material Abuse

Mr Yip Hon Weng asked the Minister for Digital Development and Information, in light of paid advertisements using AI-generated likenesses and voices without consent, whether platforms will have to verify advertisers and obtain consent attestations before publication, whether persistent disclosure and expedited removal...

Policy Signal: Singapore is handling AI impersonation ads through existing frameworks plus phased expansion of powers: industry self-regulation and anti-scam Codes of Practice come first, while deepfake-type inauthentic material abuse waits on the OSC's capability build-up, suggesting no dedicated consent or labelling rules for AI ads in the near term.
Open digest, stances, and transcript

Mr Yip Hon Weng asked the Minister for Digital Development and Information, in light of paid advertisements using AI-generated likenesses and voices without consent, whether platforms will have to verify advertisers and obtain consent attestations before publication, whether persistent disclosure and expedited removal will be mandated, and when the Online Safety Commission's powers over inauthentic material abuse will commence. Mrs Josephine Teo replied that the Advertising Standards Authority of Singapore (ASAS) takes a consistent approach whether or not AI is used; under the Singapore Code of Advertising Practice, advertisers should disclose AI use where necessary and must not portray a person without consent. On 17 August 2026 the Government issued Codes of Practice under the Online Criminal Harms Act requiring designated online services to verify advertisers' identities and promptly remove suspected scam ads. The OSC can already act on AI-generated material meeting the thresholds of five harms, while inauthentic material abuse will be implemented progressively, with commencement details in due course.

Key Points
  • • ASAS takes a consistent approach to advertising content whether or not AI is used, reviews potential breaches on a complaints basis, and can get advertisers to amend or withdraw non-compliant ads
  • • The Singapore Code of Advertising Practice expects advertisers to disclose AI use where necessary, not to portray a person or their property without consent, and to ensure endorsements and testimonials are genuine
  • • On 17 August 2026 the Government issued new and enhanced Codes of Practice under the Online Criminal Harms Act requiring designated online services to verify advertisers' identities and prevent and promptly remove suspected scam ads
  • • The OSC currently covers five harms: intimate image abuse, image-based child abuse, doxxing, online harassment and online stalking, and can act on AI-generated material meeting these thresholds
Government Position
The Government considers that the existing advertising code and the Online Criminal Harms Act Codes of Practice already cover AI impersonation ads, and did not commit to mandating consent attestations or persistent disclosure; on the OSC's powers over inauthentic material abuse, it said only that they will be implemented progressively, without a timeline.
Questioning Position
The questioner, Mr Yip Hon Weng, was concerned about paid ads using AI-generated likenesses and voices without consent, and asked whether platforms would be required to verify advertisers, obtain consent attestations, keep disclosures visible and remove ads faster, and when the OSC's related powers would commence.
"Advertisers should disclose AI use where necessary to avoid misleading consumers."
Original transcript excerpt
Mr Yip Hon Weng asked the Minister for Digital Development and Information, in light of paid advertisements using AI-generated likenesses and voices without consent, whether platforms will be required to verify advertisers and obtain consent attestations before publication, whether persistent disclosure and expedited removal will be mandated, and when the Online Safety Commission's powers over inauthentic material abuse will commence. Mrs Josephine Teo replied that ASAS takes a consistent approach regardless of whether AI is used. Under the Singapore Code of Advertising Practice, advertisers should disclose AI use where necessary to avoid misleading consumers, should not portray a person or their property without consent, and must ensure endorsements are genuine; ASAS can get non-compliant ads amended or withdrawn. On 17 August 2026 the Government also issued new and enhanced Codes of Practice under the Online Criminal Harms Act, requiring designated online services to verify advertisers' identities and to prevent and promptly remove suspected scam ads. The OSC currently provides relief for five harms under the Online Safety (Relief and Accountability) Act and can act on AI-generated material meeting those thresholds. Inauthentic material abuse will be implemented progressively as the OSC builds capabilities, with commencement details to be provided in due course.
15 Parliament Mild scrutiny

Adapting Shared Responsibility Principles Framework to Authorised-transfer Scams

Dr Hamid Razak asked the Prime Minister and Minister for Finance whether, given that investment scams recorded the highest losses in the first half of 2026, MAS is reviewing whether shared responsibility principles can be adapted to authorised-transfer scams such as investment scams, and what criteria would guide such...

Policy Signal: Faced with AI deepfake-driven self-effected transfer scams, the Government is not institutionalising wider bank liability, relying instead on platform duties, cooling periods and discretionary goodwill payments; the line for sharing losses is still drawn by whether the victim authorised the transfer, unchanged by AI's growing capacity to deceive.
Open digest, stances, and transcript

Dr Hamid Razak asked the Prime Minister and Minister for Finance whether, given that investment scams recorded the highest losses in the first half of 2026, MAS is reviewing whether shared responsibility principles can be adapted to authorised-transfer scams such as investment scams, and what criteria would guide such a review. Minister for National Development Chee Hong Tat replied that the Shared Responsibility Framework (SRF) focuses on phishing scams involving unauthorised transactions and is not suitable for self-effected transfers; messaging platforms will be required to make it harder for unknown contacts to reach users and to display warnings, and major retail banks have introduced cooling periods for higher-risk activities. Dr Hamid asked whether the framework could be changed to cover victims who transact themselves because AI and deepfakes make them think the transaction is valid. Mr Chee said measures will keep being reviewed, the MHA scam Bill passed the previous day will strengthen deterrence, penalties should target scammers rather than financial institutions, and FIs make discretionary goodwill payments outside the SRF on a case-by-case basis.

Key Points
  • • Scam cases and losses fell in 2025 and the first half of 2026, but investment scams recorded the highest losses among all scam types
  • • The Shared Responsibility Framework (SRF) focuses on phishing scams involving unauthorised transactions and the Government considers it unsuitable for self-effected transfers
  • • Online messaging platforms will be required to make it harder for unknown contacts to engage users without consent and to display scam-risk warnings
  • • Major retail banks have progressively implemented cooling periods for higher-risk activities such as adding payees, raising transaction limits and large transfers that drain accounts
Government Position
The Government declined to extend the Shared Responsibility Framework to self-effected transfer scams, saying they require vigilance from platforms, banks and individuals, and that deterrence and penalties should target scammers while financial institutions are partners. It committed only to keep reviewing measures, not to change the framework.
Questioning Position
The questioner, Dr Hamid Razak, argued that AI and deepfakes lead victims to believe their transactions are valid, while the current framework hinges on stolen credentials and so leaves investment scam victims unprotected, and asked MAS to review it to cover them.
"It is not suitable for scams involving self-effected transfers."
Original transcript excerpt
Dr Hamid Razak asked the Prime Minister and Minister for Finance whether, given that investment scams recorded the highest losses in the first half of 2026, MAS is reviewing whether shared responsibility principles can be adapted to authorised-transfer scams such as investment scams, and if so what criteria would guide the review. Mr Chee Hong Tat, Minister for National Development, replied that scam cases and losses fell in 2025 and the first half of 2026, but investment scams still recorded the highest losses. Messaging platforms will be required to make it harder for unknown contacts to engage users without consent and to display warnings, and major retail banks have introduced cooling periods for higher-risk activities. He said the Shared Responsibility Framework focuses on phishing scams involving unauthorised transactions and is not suitable for self-effected transfers. Dr Hamid asked whether MAS would review the framework so that victims who transact themselves because of AI-generated deepfake images and platforms could also have claims considered. Mr Chee said measures will keep being reviewed in what is a cat and mouse game, that the MHA scam Bill passed the day before would strengthen deterrence, that penalties should target scammers rather than financial institutions, and that FIs provide discretionary goodwill payments outside the SRF on a case-by-case basis.
15 Parliament Mild scrutiny

Impact of Global AI Capital Expenditure and Expansion on Singapore's Economic, Wage and Jobs Growth

Mr Saktiandi Supaat and Mr Edward Chia Bing Hui asked the Minister for Trade and Industry (Energy and Industry) about AI-driven growth. Mr Saktiandi asked whether the Ministry has assessed how sensitive Singapore's growth is to a material slowdown in global AI capital expenditure, and how much value-added AI growth is...

Policy Signal: MPs asked for quantified sensitivity and local value-capture data, but the Government offered only qualitative judgments and adoption rates, suggesting it has yet to publish any framework for measuring the local gains from AI growth; assigning monitoring to the National AI Council is the only institutional commitment so far.
Open digest, stances, and transcript

Mr Saktiandi Supaat and Mr Edward Chia Bing Hui asked the Minister for Trade and Industry (Energy and Industry) about AI-driven growth. Mr Saktiandi asked whether the Ministry has assessed how sensitive Singapore's growth is to a material slowdown in global AI capital expenditure, and how much value-added AI growth is captured by local enterprises, R&D and intellectual property. Mr Chia asked how much of the growth has turned into productivity gains, wage growth, new jobs and value capture by local firms, and how the Government will monitor whether it benefits the wider economy. Dr Tan See Leng gave the same reply as to Mr Liang Eng Hwa: a slowdown in global AI capex would weigh on AI-linked sectors and could trigger market corrections, but the economy is well diversified. He cited a Ministry of Manpower survey showing about three in 10 firms had adopted AI and about seven in 10 of them saw productivity gains, and said the National AI Council will coordinate and monitor.

Key Points
  • • Dr Tan See Leng's reply covers questions from Mr Liang Eng Hwa, Mr Edward Chia Bing Hui and Mr Saktiandi Supaat, and is the same text as the written answer to Mr Liang's question
  • • A slowdown in global AI capital expenditure could weigh on AI-linked sectors such as electronics, precision engineering and machinery wholesale; tighter global financial conditions and loss of investor confidence are the main downside risks
  • • Information and communications, professional services, real estate and construction are expected to support GDP growth for the rest of 2026
  • • Ministry of Manpower survey: about three in 10 firms have adopted AI, and about seven in 10 of those reported better worker productivity; more firms are redesigning roles and creating AI-related jobs rather than cutting headcount
Government Position
The Government did not provide the quantified growth-sensitivity assessment the MPs asked for, nor data on AI value captured by local enterprises, R&D and intellectual property. Instead, in a reply identical to another question, it acknowledged the downside risks, stressed economic diversification, and cited a Ministry of Manpower survey and an MTI study to argue that AI is currently complementing rather than replacing labour.
Questioning Position
Questioners Mr Saktiandi Supaat and Mr Edward Chia Bing Hui are concerned about the vulnerability and distribution of AI growth: how sensitive Singapore's growth is to global AI capex, and whether the gains actually reach local firms, wages and jobs.
"Through the National AI Council, we will coordinate our national AI efforts and ensure that AI-driven growth benefits the wider economy."
Original transcript excerpt
Mr Saktiandi Supaat asked the Minister for Trade and Industry (Energy and Industry) whether the Ministry has assessed how sensitive Singapore's growth is to a material slowdown in global AI capital expenditure, and how far local enterprises, R&D and intellectual property capture value-added AI growth. Mr Edward Chia Bing Hui asked how much AI-related growth has become productivity gains, wage growth, new jobs and value capture by local firms, and how the Government will monitor whether it benefits the wider economy. Dr Tan See Leng replied, also covering Mr Liang Eng Hwa's question. He said global AI infrastructure investment has benefited electronics, precision engineering and machinery wholesale. A slowdown in AI capex could weigh on these sectors, and a sudden fall in AI spending could hit investor confidence and cause sharp market corrections. The economy is well diversified, with information and communications, professional services, real estate and construction supporting growth for the rest of 2026. A Ministry of Manpower survey found about three in 10 firms had adopted AI, and about seven in 10 of them reported productivity gains; an MTI study found AI-using firms had higher revenue and employment. The National AI Council will coordinate efforts and monitor AI's economic impact.
15 Parliament Mild scrutiny

Sustainability of AI-led Economic Growth and Potential Risks in Event of Major Correction in Global AI Asset Valuations

Mr Liang Eng Hwa asked the Deputy Prime Minister and Minister for Trade and Industry whether the strong AI-led growth of the last four quarters can be sustained, and what risks Singapore faces if global AI investment and asset valuations correct sharply. Deputy Prime Minister Gan Kim Yong replied that global AI infrast...

Policy Signal: In a written reply to Parliament the Government openly acknowledges the downside risk of the global AI capex cycle, but its answer rests on economic diversification and local AI adoption rather than any specific hedge against an AI bubble; using one identical reply for three MPs shows MTI has settled on a single line on this issue.
Open digest, stances, and transcript

Mr Liang Eng Hwa asked the Deputy Prime Minister and Minister for Trade and Industry whether the strong AI-led growth of the last four quarters can be sustained, and what risks Singapore faces if global AI investment and asset valuations correct sharply. Deputy Prime Minister Gan Kim Yong replied that global AI infrastructure investment has so far benefited outward-oriented sectors such as electronics, precision engineering and machinery wholesale; a slowdown in global AI capital expenditure would weigh on these sectors and could trigger a loss of investor confidence and sharp corrections in financial markets. He stressed that the economy is well diversified, with information and communications, professional services, real estate and construction expected to support growth for the rest of 2026. A Ministry of Manpower survey found about three in 10 firms had adopted AI, and about seven in 10 of those reported productivity gains. The Government is launching four National AI Missions and will coordinate and monitor AI efforts through the National AI Council.

Key Points
  • • Global capital investment in AI infrastructure has so far mainly benefited the electronics and precision engineering clusters in manufacturing, and the machinery, equipment and supplies segment of wholesale trade
  • • Downside risks: tighter global financial conditions would raise financing costs; a sudden fall in AI capital spending could hit investor confidence, trigger sharp corrections in global financial markets and spill over to global economic activity
  • • Information and communications, professional services, real estate and construction are expected to support GDP growth for the rest of 2026
  • • Ministry of Manpower survey: about three in 10 firms have adopted AI, and about seven in 10 of those reported better worker productivity; an MTI study found firms using AI saw higher revenue and total employment
Government Position
The Government acknowledges that a slowdown in global AI capital expenditure would weigh on AI-linked sectors and could trigger financial market corrections, but stresses that Singapore's economy is well diversified; it gave no quantified estimate of growth sensitivity to the AI cycle. Its response is to push AI adoption by firms and workers, launch National AI Missions and monitor through the National AI Council.
Questioning Position
Questioner Mr Liang Eng Hwa is concerned whether the strong AI-led growth of the last four quarters can last, and what disruption a major correction in global AI investment and asset valuations would cause Singapore's economy.
"Even as we keep a close watch on the AI-related risks, we would like to assure Members that Singapore's economy is well diversified."
Original transcript excerpt
Mr Liang Eng Hwa asked the Deputy Prime Minister and Minister for Trade and Industry whether the strong AI-led growth of the last four quarters can be sustained, and what risks Singapore faces if global AI investment and asset valuations correct sharply. Mr Gan Kim Yong replied, also covering questions from Mr Edward Chia Bing Hui and Mr Saktiandi Supaat. He said strong global investment in AI infrastructure has benefited electronics and precision engineering in manufacturing and the machinery, equipment and supplies segment of wholesale trade. A slowdown in global AI capital expenditure could weigh on these sectors; tighter financial conditions could raise financing costs, and a sudden fall in AI spending could hit investor confidence and cause sharp market corrections. He assured Members the economy is well diversified, with information and communications, professional services, real estate and construction expected to support growth for the rest of 2026. A Ministry of Manpower survey found about three in 10 firms had adopted AI, and about seven in 10 of them reported productivity gains, with AI complementing rather than replacing labour. Budget 2026 announced National AI Missions in four sectors, and Google DeepMind and OpenAI have set up research labs in Singapore. The Government will keep monitoring AI's impact and coordinate efforts through the National AI Council.

Analytical Views

Interpretive layers distilled from the archive.

💡 Key Insights

Data sovereignty becomes a core issue

Important

As the AI industry grows, data sovereignty and preventing foreign monopolisation become persistent priorities; the government emphasises both international cooperation and security safeguards.

Singapore's AI economy and data sovereignty; AI firm acquisitions and local talent safeguards.

Workforce transformation policy deepens

Important

The government drives inclusive workforce transformation, supporting mid-career reskilling and skills transfer in response to debates over AI substitution and complementarity.

Study of AI's impact on SME workforce; Jobs Transformation Maps and mid-career support.

Multi-faceted integration of AI in education

Education policy emphasises age-progressive AI use guidance, integration with brain science, and diverse pedagogies to balance academic rigour with creative-capacity development.

Age-progressive generative AI framework; brain-science and adaptive AI education collaboration; balancing PSLE rigour with AI skills.

Regulatory mechanisms move toward flexibility

AI M&A uses voluntary notification; regulation emphasises balance between innovation and competition, with debate over whether oversight is sufficient.

Regulatory review of Meta's Manus acquisition.

AI ethics and transparency rise

For AI-generated-content disclosure and advertising rules, the government drives guidance updates that balance consumer protection with industry innovation.

Property agents declaring AI-edited images.

Preventive healthcare AI accelerates

Important

MOH unveils the ACE-AI tool to predict chronic disease risk under an 'AI-enhanced, not AI-decided' principle; BRCA genetic-testing subsidies and MediShield Life expansion mark healthcare AI entering substantive deployment.

2026 MOH Committee of Supply: ACE-AI rollout; BRCA1/2 genetic-testing subsidies.

Skills-training funding remains insufficient

Participation in AI-related training is rising, but funding support and course customisation remain contested; the government continues to refine.

SkillsFuture AI training take-up and support; extending SkillsFuture Credit to AI tool subscriptions.

📈 Policy Evolution

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⚡ Recurring Controversies

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⚖️ Core Policy Tensions

Innovation speed vs regulatory safety

Encourage fast innovation and market vibrancy
vs
Emphasise risk control and fair competition
Current balance: Flexible regulation with voluntary notification.

Data openness vs data sovereignty

Push international data collaboration and sharing
vs
Guard against foreign monopoly and data leakage
Current balance: Emphasises both data security and international cooperation.

AI substitution vs workforce transformation

AI substitutes some roles to lift efficiency
vs
Safeguard employment and support reskilling and conversion
Current balance: Push inclusive transformation and skills upgrading.

Education equity vs creative-capacity development

Focus on academic rigour and core competencies
vs
Emphasise inquiry-based and collaborative learning
Current balance: Integrate diverse pedagogies, balancing equity and innovation.

Funding support vs course customisation

Increase funding to broaden training coverage
vs
Optimise course content to meet diverse needs
Current balance: Continuously refine course content and funding allocation.

🎙️ Key MP Profiles

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📡 Policy Signal Tracker

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