Last updated: 2026-06-09 179 debate records
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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
179
Years covered
2015-2026
Updated
2026-06-09
Type mix
Written Answers 61 / Motions 7 / Oral Answers 52 / Budget Debate 59
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Debate Records

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15 Parliament Information

Quantifiable Safety Metrics and AV Standards Governing AI Decision-Making Prior to Commercial Deployment on Public Roads

Mr Alex Yeo asked the Acting Minister for Transport whether LTA's two-stage Deployment Readiness Assessment contains specific, quantifiable safety metrics that autonomous vehicles (AVs) must meet, what those standards are, and whether Technical Reference 68 (TR 68) will be enhanced — or a formal set of AV standards gov...

Policy Signal: Singapore's AV regulation is incremental: gating through case-by-case authorisation and performance metrics rather than pre-set hard standards for AI decision-making, with the TR 68 review signalling rule updates before commercialisation at a pace the regulator controls.
🎙️ Mr Alex Yeo · Mr Jeffrey Siow
Open digest, stances, and transcript

Mr Alex Yeo asked the Acting Minister for Transport whether LTA's two-stage Deployment Readiness Assessment contains specific, quantifiable safety metrics that autonomous vehicles (AVs) must meet, what those standards are, and whether Technical Reference 68 (TR 68) will be enhanced — or a formal set of AV standards governing AI decision-making protocols introduced — before the first commercial AVs are allowed on the roads. Mr Jeffrey Siow replied that the deployment readiness assessment framework sets out technical performance and public acceptance metrics that must be met before AVs may take passengers and eventually progress to driverless operations. These include clocking sufficient distance on the actual deployment route without safety-operator intervention, and the ability to handle various traffic scenarios within the authorised geo-fenced area. TR 68, which serves as guidelines for Singapore's AV industry, was last updated in 2021 and is currently under review; in the meantime, AV deployments continue under the existing authorisation regime. The answer gave no specific quantitative thresholds and made no commitment to formal AI decision-making standards before commercial deployment.

Key Points
  • • Deployment readiness assessment covers technical performance and public acceptance metrics
  • • AVs must clock sufficient intervention-free distance on the actual deployment route
  • • Technical Reference 68 was last updated in 2021 and is under review
  • • AV deployments continue under the existing authorisation regime meanwhile
Government Position
The Government maintains that the current deployment readiness assessment framework and authorisation regime adequately safeguard AV safety, with TR 68 under review and no separate formal standard for AI decision-making planned for now.
"Technical Reference 68, which serves as guidelines for the AV industry in Singapore, was last updated in 2021 and is currently being reviewed."
Original transcript excerpt
Mr Alex Yeo asked the Acting Minister for Transport (a) whether the Land Transport Authority (LTA) has specific, quantifiable safety metrics in the two-stage Deployment Readiness Assessment that autonomous vehicles (AVs) must meet; (b) if so, what these standards are; and (c) whether Technical Reference 68 will be further enhanced, or a formal set of AV standards that governs artificial intelligence decision-making protocols will be introduced, before the first commercial AVs are allowed on the roads. Mr Jeffrey Siow replied that the deployment readiness assessment framework for autonomous vehicles sets out technical performance and public acceptance metrics that must be met before the AVs are allowed to take passengers and eventually progress to driverless operations. These include clocking sufficient distance within the actual deployment route without the need for intervention by safety operators, and the ability to handle various traffic scenarios presented within the authorised geo-fenced area. On standards, the Acting Minister said that Technical Reference 68, which serves as guidelines for the AV industry in Singapore, was last updated in 2021 and is currently being reviewed. In the meantime, AV deployments will continue under the existing authorisation regime. The written answer did not enumerate specific quantitative thresholds for the technical performance or public acceptance metrics, and did not commit to introducing a formal set of AV standards governing AI decision-making protocols before the first commercial AVs are allowed on public roads.
15 Parliament Information

Data Protection Standards for AI Tools Usage in Schools and Assessing AI's Impact on Student Learning Outcomes

Ms Eileen Chong Pei Shan filed two written questions to the Minister for Education on AI tools in schools: first, what minimum data protection standards schools must apply when directing students to use AI tools not hosted on the Singapore Student Learning Space (SLS), whether parental notification or consent is requir...

Policy Signal: Data protection for school AI tools and the assessment of learning outcomes have become recurrent parliamentary topics; MOE's choice to respond through a single consolidated answer signals an AI-in-education policy still in a research-first, cautious-disclosure phase.
🎙️ Ms Eileen Chong Pei Shan · Desmond Lee
Open digest, stances, and transcript

Ms Eileen Chong Pei Shan filed two written questions to the Minister for Education on AI tools in schools: first, what minimum data protection standards schools must apply when directing students to use AI tools not hosted on the Singapore Student Learning Space (SLS), whether parental notification or consent is required before students use such tools for school-assigned work, and how compliance is monitored; second, the scope of the Ministry's study on AI's impact on students' learning — education levels covered and learning outcomes measured — the expected timeline for publishing findings, and how the findings will inform or revise the AI in education strategy. Mr Desmond Lee's written reply gave no new substance, stating that the questions had been addressed by the Ministry of Education's answer to oral Parliamentary Question Nos 2 to 5 on 6 May 2026, and referring the Member to "Monitoring AI Use by Primary School Students" in the Official Report, 6 May 2026, Vol 96, Issue 30, Oral Answers to Questions section.

Key Points
  • • The MP pressed on minimum data protection standards and parental consent for non-SLS AI tools
  • • She also asked about the scope, timeline and strategic use of MOE's AI learning-impact study
  • • The Education Minister's written reply only cited the 6 May oral answer, adding nothing new
  • • The response is recorded under "Monitoring AI Use by Primary School Students", Vol 96, Issue 30
Government Position
MOE's position is that the data protection and AI learning-impact questions were already addressed in its consolidated reply to oral questions on 6 May 2026, so the written answer merely cross-refers without further elaboration.
"This question has been addressed by the Ministry of Education's answer to oral Parliamentary Question Nos 2 to 5 on 6 May 2026."
Original transcript excerpt
Ms Eileen Chong Pei Shan asked the Minister for Education two written questions on the use of AI tools in schools. First, she asked (a) what minimum data protection standards schools are required to apply when directing students to use AI tools not hosted on the Singapore Student Learning Space; (b) whether parental notification or consent is required before students use such tools for school-assigned work; and (c) how compliance with these standards is monitored. Second, she asked (a) what is the scope of the Ministry's study on the impact of artificial intelligence (AI) on students' learning, in terms of education levels covered and learning outcomes measured; (b) what is the expected timeline for findings to be published; and (c) how the findings will be used to inform or revise the AI in education strategy. Mr Desmond Lee replied that these questions had been addressed by the Ministry of Education's answer to oral Parliamentary Question Nos 2 to 5 on 6 May 2026, and referred the Member to "Monitoring AI Use by Primary School Students", Official Report, 6 May 2026, Vol 96, Issue 30, Oral Answers to Questions section. The written reply itself provided no further substantive details on data protection standards, parental consent requirements, compliance monitoring, or the scope and timeline of the Ministry's study; the full government response on these matters is recorded under the oral answer delivered the previous day.
15 Parliament Substantive debate

An Artificial Intelligence (AI) Transition with No Jobless Growth (Main Debate)

On 6 May Parliament resumed debate on NTUC Secretary-General Ng Chee Meng's motion "An AI Transition with No Jobless Growth", with around 20 MPs speaking in the most substantive AI debate of the 15th Parliament to date. The motion asked the House to recognise AI's transformative power for Singapore's next phase of grow...

Policy Signal: AI's impact on jobs has been elevated to a top-tier national agenda: the Government made clear it will manage the AI transition through tripartite mechanisms rather than legislated protections, public support will be tied to worker outcomes, and the Jobseeker Support threshold and retrenchment notification regime are set to be reviewed and strengthened.
Open digest, stances, and transcript

On 6 May Parliament resumed debate on NTUC Secretary-General Ng Chee Meng's motion "An AI Transition with No Jobless Growth", with around 20 MPs speaking in the most substantive AI debate of the 15th Parliament to date. The motion asked the House to recognise AI's transformative power for Singapore's next phase of growth, anchor AI-enabled growth in fairness, resilience and opportunity for all, equip workers and enterprises, and affirm that Singapore must not have jobless growth. PAP and labour MPs focused on job redesign, Company Training Committees and the new Tripartite Jobs Council. Workers' Party MPs all supported the motion but proposed structural alternatives: Gerald Giam a National AI Equity Fund paying every adult citizen a $500 annual dividend plus an on-the-job mastery fund; Andre Low a redundancy insurance with no income ceiling, a retraining tax credit and an annual "AI gains audit"; Kenneth Tiong universal premium AI tool access and sovereign-level engagement with frontier AI firms. Manpower Minister Tan See Leng rejected the WP proposals as "a settlement" rather than empowerment, cited an MOM survey that only about 6% of AI-adopting firms cut headcount, and committed to studying a higher Jobseeker Support income threshold and earlier retrenchment notification. Speakers on both sides declared support for the motion.

Key Points
  • • About 20 MPs spoke over nearly 7 hours; both sides backed the motion but clashed sharply on policy instruments
  • • WP proposed a National AI Equity Fund ($500 annual dividend per adult) and redundancy insurance with no income ceiling
  • • Tan See Leng cited MOM survey: only about 6% of AI-adopting firms cut headcount, 70% already see productivity gains
  • • Government agreed to study a higher Jobseeker Support income threshold and earlier retrenchment notification
Government Position
The Government rejected payout-centred redistribution in favour of "investing in people": through the SWDA, the Tripartite Jobs Council and the Enterprise Workforce Transformation Package, workers should advance with AI-enabled growth, with the pledge that it cannot protect every job but will protect every worker.
Questioning Position
Workers' Party MPs supported the motion itself but criticised the Jobseeker Support scheme's low income ceiling and tapering design as pushing workers into the first available job, proposing instead redundancy insurance with no ceiling, a National AI Equity Fund, a retraining tax credit and mandatory AI-transition notice requirements.
"Both your proposals are not empowerment. To me, it is a settlement. Resigned to the fact that mass displacement is inevitable and that the best we can do is soften the blow."
Original transcript excerpt
Parliament resumed debate on NTUC Secretary-General Ng Chee Meng's motion calling on the House to recognise AI's transformative power, anchor AI-enabled growth in fairness, resilience and opportunity for all, equip workers and enterprises, and affirm that Singapore must not have jobless growth because every worker matters. Around twenty MPs spoke. NMP Mark Lee urged a single front door for enterprise AI grants and a shift to place-and-train; Mr Saktiandi Supaat warned of a divide between AI haves and have-nots. Ms Yeo Wan Ling said union ground work showed bus captains spend only about 20% of their day driving, so job redesign must rest on actual workflows. Workers' Party MPs supported the motion while proposing alternatives. Mr Gerald Giam proposed a National AI Equity Fund paying a $500 annual dividend to every adult citizen plus an on-the-job mastery fund, financed by a corporate tax rise on firms with profits above $100 million and a larger draw on net investment returns. Mr Andre Low argued the tapering, $5,000-capped Jobseeker Support scheme pushes workers into the first job rather than the right one, urging WP's redundancy insurance paying 40% of last-drawn salary with no ceiling, a retraining tax credit and an annual AI gains audit. Mr Kenneth Tiong called for universal premium AI agent access and a 90-day transition notice. Ms He Ting Ru cited IMF estimates that 77% of Singapore's workforce is highly exposed to AI; Assoc Prof Jamus Lim warned of a graduate hiring slowdown. Labour MP Patrick Tay urged raising the Jobseeker Support ceiling to the PME median of $8,400. Responding, Minister of State Jasmin Lau said companies receiving public support must deliver worker outcomes; Senior Minister of State Desmond Tan detailed NTUC's AI-Ready SG, with 3,800 Company Training Committees and 50% subsidies on 21 AI tools. Manpower Minister Tan See Leng rejected the WP's payout-centred proposals as a settlement rather than empowerment, citing MOM's survey that only about 6% of AI-adopting firms cut headcount; he committed to study raising the Jobseeker Support threshold, sought retrenchment notification by workers' last day, and confirmed six months of free premium AI tools with selected SkillsFuture courses. Every speaker, including all WP members, declared support for the motion.
15 Parliament Substantive debate

An Artificial Intelligence (AI) Transition with No Jobless Growth (Debate Conclusion)

The debate on the Motion "An AI Transition with No Jobless Growth" concluded on 6 May. In clarifications, WP's Andre Low stressed that strong social safety nets and urging Singaporeans to embrace AI are not zero-sum; Gerald Giam defended his proposed National AI Equity Fund as "not about a compensation for failure", wi...

Policy Signal: The unanimous passage establishes "no jobless AI growth" as a cross-party consensus, but the tension between the Government's preference for tripartite cooperation and training pathways — while rejecting structural wealth-sharing mechanisms — and the opposition's push for institutionalised protections will continue to shape the Employment Act review and the design of AI grant schemes.
Open digest, stances, and transcript

The debate on the Motion "An AI Transition with No Jobless Growth" concluded on 6 May. In clarifications, WP's Andre Low stressed that strong social safety nets and urging Singaporeans to embrace AI are not zero-sum; Gerald Giam defended his proposed National AI Equity Fund as "not about a compensation for failure", with nearly half the fund invested directly in workers' skills, and pressed the Government on structurally sharing AI productivity gains. Manpower Minister Tan See Leng replied that the sharing would come through real income improvement, with SWDA setting clear KPIs tying the Enterprise Workforce Training Package and job redesign to real wages and career progression. WP's Kenneth Tiong questioned the quality of SkillsFuture courses and argued for universal access to frontier AI tools, while Mark Lee countered that Tiong's proposed 90-day mandatory notice for AI-driven role elimination is operationally ambiguous when transformation is gradual. Yeo Wan Ling asked whether job redesign would be an explicit condition of AI grants; Minister of State Jasmin Lau said the direction is committed and details would be worked out with tripartite partners. Wrapping up the debate of 7 hours 18 minutes and 24 speeches, Ng Chee Meng backed raising Jobseeker Support eligibility to the PME median income of about $8,400 and said NTUC is open on the form of support. The Motion was put and agreed to unanimously.

Key Points
  • • After 7 hours 18 minutes and 24 speeches, the Motion was agreed to unanimously
  • • Tan See Leng: SWDA will set KPIs tying training packages and job redesign to real wages
  • • WP pressed structural measures: an AI Equity Fund, redundancy insurance and 90-day AI-retrenchment notice
  • • NTUC backs raising JSS eligibility to the PME median income of about $8,400
Government Position
The Government pledged not to leave AI growth outcomes to the market: public support will come with worker-outcome expectations, and AI gains will be shared with workers through real income improvement and career progression under SWDA's KPIs, rather than through a structural wealth-redistribution fund.
Questioning Position
WP MPs pushed for more structural protections — a National AI Equity Fund, redundancy insurance, a 90-day mandatory notice for AI-driven role elimination with an adjudicative process — arguing that strong social safety nets are precisely what enable Singaporeans to take risks and embrace AI opportunities, not a trade-off against them.
"The National AI Equity Fund is not about a compensation for failure. It is about providing the security required for assurance and success."
Original transcript excerpt
Debate on the Motion resumed on 6 May 2026 with a round of clarifications. Mr Andre Low (WP) welcomed Minister of State Jasmin Lau's position that automation and augmentation are not mutually exclusive, and pressed Minister Tan See Leng on his characterisation of WP proposals, arguing that strong social safety nets are precisely what enable Singaporeans to take risks and embrace AI. Mr Gerald Giam (WP) defended his proposed National AI Equity Fund — one limb giving workers a direct stake in prosperity, the other, nearly half the fund, investing in skills and on-the-job training — and asked how the Government would move from discretionary spending to a structural sharing of AI wealth. Dr Tan See Leng replied that sharing would come through real income improvement, with SWDA setting clear KPIs tying the Enterprise Workforce Training Package and job redesign to real wages and career progression. Mr Kenneth Tiong (WP) questioned whether SkillsFuture enrolment is a reliable proxy for seriousness, citing residents unimpressed with course quality; Dr Tan replied that the aim is to bring as broad a segment of the population as possible to "base camp". Ms Yeo Wan Ling asked whether job redesign would be an explicit condition of AI grants and what worker outcomes would be tracked; Ms Lau said the direction is committed but details would be discussed with tripartite partners. Mr Mark Lee challenged Mr Tiong's proposed 90-day mandatory notice for AI-driven role elimination as operationally ambiguous when transformation is gradual and task-based; Mr Tiong pointed to an adjudicative process, citing a court case in Hangzhou. Wrapping up after 24 speeches and over seven and a half hours, Mr Ng Chee Meng addressed Members' contributions across his four practical moves, supported raising Jobseeker Support eligibility to the PME median income of about $8,400 as called for by Mr Patrick Tay, said NTUC is not wedded to any particular form of support in response to Mr Low's redundancy insurance proposal, and declared that "this House stands with you". After a final exchange with Mr Giam on wage support for on-the-job training, the question was put and agreed to.
15 Parliament Information

Regulatory Framework for AI-developed Drugs and Implications on Clinical Trials, and Adequacy of Data Protection Safeguards for National Patient Data

Mr Yip Hon Weng asked the Coordinating Minister for Social Policies and Minister for Health in writing whether the Ministry has studied if AI-developed drugs can shorten or bypass clinical trials; if so, how their regulatory approval would differ from conventional products; what regulations currently govern AI healthca...

Policy Signal: Singapore is taking a "same standards" line on AI drug regulation, aligned with the FDA and EMA: AI may speed up drug development, but the safety evidence bar will not be lowered — a measured rather than aggressive approach to medical AI regulation.
Open digest, stances, and transcript

Mr Yip Hon Weng asked the Coordinating Minister for Social Policies and Minister for Health in writing whether the Ministry has studied if AI-developed drugs can shorten or bypass clinical trials; if so, how their regulatory approval would differ from conventional products; what regulations currently govern AI healthcare innovations; and whether existing personal data protection and cybersecurity safeguards can prevent data leakage when AI accesses national patient data for product conceptualisation. Health Minister Ong Ye Kung replied that both AI-developed and conventionally developed drugs must meet the same international standards of quality, safety and efficacy — no shortcuts. The Health Sciences Authority's regulatory approach is aligned with international agencies such as the US FDA and the European Medicines Agency, which have set out key principles on the responsible use of AI in drug development. Patient data is robustly protected, including under the Personal Data Protection Act, and the Government will continue to monitor developments and strengthen safeguards as needed. The reply affirmed a "same standards" principle: AI does not change the evidentiary bar for drug approval.

Key Points
  • • Yip Hon Weng asked if AI-developed drugs can shorten or bypass clinical trials
  • • Ong Ye Kung: AI and conventional drugs must meet the same international quality, safety and efficacy standards
  • • HSA's regulatory approach is aligned with the US FDA and the European Medicines Agency
  • • Patient data is robustly protected, including under the Personal Data Protection Act
Government Position
AI-developed drugs get no regulatory shortcut — they must meet the same international quality, safety and efficacy standards as conventional drugs, and patient data is robustly protected with safeguards to be strengthened as needed.
"Both artificial intelligence- (AI-)developed and conventionally developed drugs must meet the same international standards of quality, safety and efficacy."
Original transcript excerpt
Mr Yip Hon Weng asked the Coordinating Minister for Social Policies and Minister for Health whether the Ministry has studied if AI-developed drugs can shorten or bypass clinical trials; if so, how the regulatory approval of AI-developed drugs would differ from conventional products; what regulations currently govern AI healthcare innovations; and whether existing personal data protection and cybersecurity safeguards can prevent data leakage when AI accesses national patient data for product conceptualisation. Mr Ong Ye Kung, the Minister for Health, replied that both artificial intelligence-developed and conventionally developed drugs must meet the same international standards of quality, safety and efficacy. The Health Sciences Authority's regulatory approach is aligned with that of international agencies, such as the US Food and Drug Administration and the European Medicines Agency, which have outlined key principles on the responsible use of AI in drug development. On the data protection questions, the Minister stated that patient data is robustly protected, including when it is used for AI development. Existing data protection and cybersecurity safeguards, including those under the Personal Data Protection Act, ensure that patient confidentiality is maintained and that the data is protected. He added that the Government will continue to monitor developments and strengthen its safeguards as needed. The reply gave no indication of any separate or expedited approval pathway for AI-developed drugs: the same evidentiary requirements, including clinical trials, apply regardless of how a drug candidate was discovered or designed, and Singapore's regulator will track how international counterparts evolve their principles for AI in drug development.
15 Parliament Mild scrutiny

Accuracy Benchmarks and Liability Frameworks for Intelligence Deepfake Detector Before Public Rollout and Integrating Real-Time Media Verification into ScamShield

Workers' Party MP Sylvia Lim asked the Minister for Digital Development and Information in writing what technical accuracy benchmarks or liability frameworks the Intelligent Deepfake Detector (INDEPTH) must meet before transitioning from public service use to public use, and whether the Government will pilot a verifica...

Policy Signal: On deepfake defence, the Government is holding a capability-secrecy line: detection tools stay inside government rather than being handed to the public, with citizen protection routed through incremental ScamShield upgrades and public education instead of detection-as-a-service.
Open digest, stances, and transcript

Workers' Party MP Sylvia Lim asked the Minister for Digital Development and Information in writing what technical accuracy benchmarks or liability frameworks the Intelligent Deepfake Detector (INDEPTH) must meet before transitioning from public service use to public use, and whether the Government will pilot a verification API within the ScamShield app to give citizens real-time risk scores for suspicious media. Minister Josephine Teo replied that INDEPTH is a deepfake detection platform designed specifically for Government agencies and is not intended for public use; revealing its detection capabilities would not be in the public interest as malicious actors may exploit such information. On ScamShield, she explained the app — built by Open Government Products with the National Crime Prevention Council and the Singapore Police Force — blocks verified scam calls, filters scam SMSes, and lets users check and report suspicious calls, messages and links, including content showing signs of digital manipulation such as deepfakes. The Government will keep strengthening its detection capabilities and public education, but has no plans at this juncture for a real-time risk-scoring verification API. The tension: the opposition wants government-grade detection tools in citizens' hands; the Government declines on security-through-secrecy grounds.

Key Points
  • • Sylvia Lim asked what accuracy and liability bar INDEPTH must clear before public release
  • • Josephine Teo: INDEPTH is for government agencies only; revealing capabilities risks exploitation
  • • ScamShield already lets users report suspicious messages and links showing deepfake signs
  • • No plans at this juncture for a real-time risk-scoring verification API in ScamShield
Government Position
INDEPTH stays a government-only platform — its capabilities will not be disclosed lest malicious actors exploit them — while public protection relies on strengthening ScamShield's existing features, with no real-time risk-scoring API planned.
Questioning Position
WP's Sylvia Lim pushed for deepfake detection capability to reach the public, asking for clear technical and liability thresholds for opening up INDEPTH and proposing a real-time verification API pilot in ScamShield.
"It is not in the public interest to reveal its detection capabilities as malicious actors may exploit such information."
Original transcript excerpt
Ms Sylvia Lim asked the Minister for Digital Development and Information what technical accuracy benchmarks or liability frameworks the Intelligent Deepfake Detector (INDEPTH) must meet before it is transitioned from public service use to public use, and whether the Government will pilot a verification API within the ScamShield app to provide citizens with real-time risk scores for suspicious media. Mrs Josephine Teo, the Minister for Digital Development and Information, replied that INDEPTH is a deepfake detection platform designed specifically for Government agencies and is not intended for public use. She stated that it is not in the public interest to reveal its detection capabilities, as malicious actors may exploit such information. On the second question, the Minister explained that the ScamShield app was developed by Open Government Products in collaboration with the National Crime Prevention Council and the Singapore Police Force to protect the public from scams. It blocks scam calls from numbers verified by the authorities and filters scam SMSes. It also allows users to check and report suspicious calls, messages — such as SMS, WhatsApp and Telegram — and website links, including those that may show signs of digital manipulation, such as deepfakes. The Government will continue to strengthen ScamShield's existing scam detection capabilities and reporting channels, and will step up public education to better protect users from evolving scam tactics. However, there are no plans at this juncture to develop a verification API within the ScamShield app to provide real-time risk scores for suspicious media.
15 Parliament Mild scrutiny

Ensuring Meaningful Human Accountability for Public-facing Autonomous AI Agents and Pathways to Mandatory Governance in High-risk Sectors

Following the launch of the Model AI Governance Framework for Agentic AI, Workers' Party MP Sylvia Lim asked the Minister for Digital Development and Information in writing how the Ministry intends to ensure "meaningful human accountability" for autonomous AI agents interacting with the public absent explicit disclosur...

Policy Signal: Singapore is staying the soft-law course on agentic AI: the model framework sets expectations for human review and transparency, iterated with sector regulators and international practice, while the threshold for mandatory regulation is deliberately left open to preserve policy flexibility.
Open digest, stances, and transcript

Following the launch of the Model AI Governance Framework for Agentic AI, Workers' Party MP Sylvia Lim asked the Minister for Digital Development and Information in writing how the Ministry intends to ensure "meaningful human accountability" for autonomous AI agents interacting with the public absent explicit disclosure requirements, and what triggers would shift the Framework from a voluntary code to enforceable standards for high-risk sectors. Minister Josephine Teo replied that the Framework sets out guidance for organisations: high-stakes or irreversible actions should not proceed without human review, with checkpoints or action boundaries requiring human approval. It also emphasises transparency towards users — declaring upfront that users are interacting with agents, and the agents' capabilities and data access. She said agentic AI use cases and safeguards are still evolving; together with sector regulators, the Government will monitor how sectors deploy agentic AI, consult international best practices, and adjust the framework as necessary. No concrete triggers for moving from voluntary to mandatory were given. The tension: the opposition pressed for a clear hardening pathway; the Government kept a flexible monitor-and-adjust stance.

Key Points
  • • Sylvia Lim pressed on how "meaningful human accountability" applies to autonomous AI agents
  • • The Framework requires human review and approval for high-stakes or irreversible actions
  • • It stresses telling users upfront they are interacting with agents, plus capabilities and data access
  • • The Government gave no concrete triggers for turning the voluntary framework into mandatory standards
Government Position
Agentic AI governance stays voluntary for now — human review for high-stakes actions and transparency to users — with the Government and sector regulators monitoring deployments and adjusting the framework as needed, without setting triggers for a shift to mandatory standards.
Questioning Position
WP's Sylvia Lim argued that "meaningful human accountability" is hard to realise without disclosure requirements, and pressed the Government to spell out the triggers for upgrading the voluntary framework into enforceable standards for high-risk sectors.
"They should not allow high stakes or irreversible actions to take place without human review."
Original transcript excerpt
Ms Sylvia Lim asked the Minister for Digital Development and Information, following the launch of the Model AI Governance Framework for Agentic AI, how the Ministry intends to ensure "meaningful human accountability" for autonomous AI agents that interact with the public in the absence of explicit disclosure requirements, and what triggers would necessitate transitioning the Framework from a voluntary code to enforceable standards for high-risk sectors. Mrs Josephine Teo, the Minister for Digital Development and Information, replied that the Model Artificial Intelligence Governance Framework for Agentic AI sets out guidance for organisations to ensure meaningful human accountability in deploying agentic AI. Organisations should not allow high-stakes or irreversible actions to take place without human review; appropriate actions therefore include identifying checkpoints or action boundaries that require human approval. The Framework also emphasises transparency towards users, such as declaring upfront that users are interacting with agents, as well as the agents' capabilities and data access. The Minister noted that agentic AI use cases and the appropriate safeguards are still evolving. Hence, together with sector regulators, the Government will continue to monitor how various sectors deploy agentic AI and put these principles into practice, and will continue to consult and learn from best practices internationally, making adjustments to the framework as necessary. The reply did not specify any concrete triggers that would convert the voluntary framework into enforceable standards for high-risk sectors, leaving the pathway from guidance to regulation open-ended.
15 Parliament Mild scrutiny

Assessment of AI-generated Deepfake Political Videos and Regulatory Intervention Thresholds under POFMA and OCHA

Workers' Party MP Ms Sylvia Lim filed written questions to the Minister for Digital Development and Information: does the Government test on vulnerable groups before deciding that AI-generated deepfake videos of political office-holders are so obviously fabricated that POFMA directions are unnecessary, and what thresho...

Policy Signal: On deepfake regulation the Government is sticking to case-by-case discretion rather than quantitative thresholds, placing media literacy education on par with legislation and signalling no hard intervention standard in the near term.
Open digest, stances, and transcript

Workers' Party MP Ms Sylvia Lim filed written questions to the Minister for Digital Development and Information: does the Government test on vulnerable groups before deciding that AI-generated deepfake videos of political office-holders are so obviously fabricated that POFMA directions are unnecessary, and what threshold of public confusion must be met before proactive intervention under the Online Criminal Harms Act (OCHA)? Mrs Josephine Teo replied that under POFMA a Minister can issue a Correction Direction against false statements of fact communicated in Singapore where it is in the public interest, including deepfake videos; under OCHA the Government can direct online service providers to block Singapore users' access where there is reasonable suspicion of a First Schedule offence or activity preparatory to scams or malicious cyber activity. She stressed that harmful content is assessed holistically and intervention is not determined by any single factor, and pointed to public education — IMDA's Digital Skills for Life framework and the SG Digital Office's Gen AI workshops for seniors — as being as important as legislation.

Key Points
  • • Lim asked if vulnerable groups are tested before deepfakes are deemed obviously fabricated
  • • Teo: POFMA enables Correction Directions; OCHA enables access-blocking directions
  • • Government assesses harmful content holistically; no single factor determines intervention
  • • IMDA's Digital Skills for Life and Gen AI workshops for seniors carry public education
Government Position
The Government holds that the existing POFMA and OCHA frameworks suffice for deepfake videos, with intervention based on holistic case-by-case assessment rather than a single quantitative threshold, and public education as important as legislation.
Questioning Position
Ms Lim questioned whether the Government actually verifies vulnerable groups' ability to discern fabrication when declining to invoke POFMA, and pressed for a clear threshold of public confusion that triggers proactive OCHA intervention.
"Public education initiatives are therefore as important as legislation to help our people become more vigilant and discerning when they go online."
Original transcript excerpt
Ms Sylvia Lim asked the Minister for Digital Development and Information (a) whether the Government does testing on vulnerable groups before determining that AI-generated deepfake videos involving political office-holders are so obviously fabricated that directions under the Protection from Online Falsehoods and Manipulation Act 2019 (POFMA) are unnecessary; and (b) what threshold of public confusion arising from such videos must be met before a proactive intervention under the Online Criminal Harms Act 2023 (OCHA). Mrs Josephine Teo replied that under POFMA, a Minister can issue a Correction Direction if a false statement of fact has been communicated in Singapore and it is in the public interest to issue it, and that this includes online falsehoods communicated via deepfake videos. Under OCHA, the Government can issue directions to online service providers to disable Singapore users' access to online content or activity when there is reasonable suspicion that the activity is in furtherance of a specified criminal offence under the First Schedule of OCHA, or when there is suspicion or reason to believe that the activity is preparatory to the commission of a scam or malicious cyber activity; this includes deepfake images and videos. The Minister said the Government assesses harmful online content holistically and determines the appropriate response based on a range of factors for each case and the legal conditions under the relevant legislation, so that intervention is not determined by any single factor alone. She acknowledged that there are segments of society who may be less confident in their ability to discern between fact and falsehood online, and said public education initiatives are therefore as important as legislation. The Digital Skills for Life framework, developed by the Infocomm Media Development Authority, equips Singaporeans with skills to identify and respond to false and misleading content, while the SG Digital Office runs Gen AI workshops for seniors covering how to stay safe and smart online against AI-generated misinformation.
15 Parliament Mild scrutiny

Regulating Smart Glasses and AI Wearables to Prevent Covert Recording and Unconsented Data Collection

Workers' Party MP Mr Gerald Giam asked the Minister for Digital Development and Information whether the Ministry will introduce visual indicator requirements for smart glasses to prevent surreptitious recording in public, and how it ensures AI-enabled wearables do not facilitate mass collection of biometric or environm...

Policy Signal: Facing new privacy risks from AI wearables, Singapore is relying on technology-neutral existing laws rather than device-specific legislation, focusing regulation on downstream data use rather than capture hardware.
Open digest, stances, and transcript

Workers' Party MP Mr Gerald Giam asked the Minister for Digital Development and Information whether the Ministry will introduce visual indicator requirements for smart glasses to prevent surreptitious recording in public, and how it ensures AI-enabled wearables do not facilitate mass collection of biometric or environmental data without the explicit consent of bystanders. Mrs Josephine Teo replied that under the Personal Data Protection Act (PDPA), organisations — including individuals creating content for commercial purposes — are accountable for how personal data is collected and used, and that photography and recording are subject to the same rules regardless of the device's form factor. While the PDPA generally does not require consent for recording in public spaces, any subsequent use or disclosure, including for AI features, must be for a reasonable purpose and comply with other laws. Non-consensual recording or misuse of intimate content may constitute offences under the Penal Code and the Protection from Harassment Act, and content creators can be held accountable under the Online Safety (Relief and Accountability) Act. No device-specific new regulations were committed.

Key Points
  • • Giam proposed visual indicator requirements for smart glasses against covert recording
  • • Teo: PDPA rules are technology-neutral, regardless of device form factor
  • • Public-space recording generally needs no consent, but downstream AI use must be reasonable and lawful
  • • Penal Code, Protection from Harassment Act and online safety law cover misuse of intimate content
Government Position
The Government holds that existing technology-neutral laws — the PDPA, Penal Code and related statutes — adequately cover smart glasses and AI wearables, and is not introducing device-specific regulations for now.
Questioning Position
Mr Giam pushed for new rules such as visual recording indicators on smart glasses to prevent covert recording in public and mass unconsented collection of bystanders' biometric data.
"The taking of photographs or making of video or audio recordings is subject to the same rules and principles regardless of the form factor of the device."
Original transcript excerpt
Mr Gerald Giam Yean Song asked the Minister for Digital Development and Information (a) whether the Ministry will introduce new regulations for visual indicator requirements for smart glasses to prevent surreptitious recording in public spaces; and (b) how the Ministry ensures that AI-enabled wearable devices used by individuals do not facilitate the mass collection of biometric or environmental data without the explicit consent of non-users in the vicinity. Mrs Josephine Teo replied that under the Personal Data Protection Act (PDPA), organisations, including individuals creating content for commercial purposes, are accountable for how personal data is collected and used, and that the taking of photographs or the making of video or audio recordings is subject to the same rules and principles regardless of the form factor of the device. She noted that while the PDPA generally does not require consent to be sought from persons for photography or recording in public spaces, organisations must ensure that any subsequent use or disclosure of the personal data, including for artificial intelligence features, is for a reasonable purpose and complies with any other applicable laws. Regardless of the capacity in which they are acting, individuals should also note that non-consensual recording, sharing or other misuse of intimate or private content may constitute criminal offences under existing laws, including the Penal Code and the Protection from Harassment Act. Under the Online Safety (Relief and Accountability) Act, creators of online content may also be held accountable for harms caused to victims. The Minister did not announce any new device-specific regulations, such as mandatory recording indicators, for smart glasses or AI wearables.
15 Parliament Mild scrutiny

Assessment of AI Impact on Worker Competitiveness and Employability, and Targeted Support Interventions for Affected Workers

Workers' Party MP Ms He Ting Ru filed two written questions to the Minister for Manpower on AI's impact on the labour market: the latest assessment of the salary premium for AI skills and how it varies by sector and seniority, and the top occupations at risk of displacement plus targeted interventions for clerical, bac...

Policy Signal: The Government concedes it lacks quantified data on AI's wage and job effects, and is centring policy on diffusing AI skills and tool usage — responding to AI disruption by upskilling workers rather than restraining corporate restructuring.
Open digest, stances, and transcript

Workers' Party MP Ms He Ting Ru filed two written questions to the Minister for Manpower on AI's impact on the labour market: the latest assessment of the salary premium for AI skills and how it varies by sector and seniority, and the top occupations at risk of displacement plus targeted interventions for clerical, back-office and entry-level knowledge workers. Dr Tan See Leng replied that MOM data shows PMETs in infocomm, financial services and professional services have seen relatively higher retrenchment incidence in recent years, indicating ongoing restructuring rather than a contraction in PMET demand. MOM has no data on AI-skill salary premiums as corporate AI adoption is still at an early stage. Support measures include Workforce Singapore's Career Conversion Programmes for workers in clerical and back-office roles, the Graduate Industry Traineeship scheme for fresh graduates without full-time jobs, and SkillsFuture Singapore's simplified AI learning pathways. Later this year, Singaporeans taking eligible AI training courses will receive six months' complimentary access to premium AI tools. The Government will keep monitoring the labour market and calibrating support.

Key Points
  • • PMET retrenchment is higher in infocomm, finance and professional services; attributed to restructuring, not falling demand
  • • MOM has no AI-skill salary premium data, citing early-stage corporate AI adoption
  • • Career Conversion Programmes and Graduate Industry Traineeships target clerical workers and fresh graduates
  • • From later this year, eligible AI course trainees get six months of free premium AI tools
Government Position
The Government views rising PMET retrenchment as restructuring rather than shrinking demand, and will help workers stay competitive through a mix of career conversion, graduate traineeships, AI learning pathways and complimentary AI tools.
Questioning Position
Ms He pressed on AI displacement risks for clerical, back-office and entry-level knowledge roles, asking the Government for quantified assessments of salary premiums and at-risk occupations plus targeted interventions.
"Later this year, Singaporeans who take up eligible AI training courses will receive six months complimentary access to premium versions of AI tools, to build familiarity and allow them to practice applying these tools in real-world contexts."
Original transcript excerpt
Ms He Ting Ru asked the Minister for Manpower two written questions: first, the Ministry's latest assessment of the salary premium for workers with AI skills in Singapore, including how it varies by sector and seniority, and what further steps will be taken to ensure Singaporean workers acquire these skills and remain competitive; second, the Ministry's latest assessment of the top occupations at risk of displacement, and what targeted interventions are being considered to address employability concerns, especially for workers in clerical, back-office and entry-level knowledge roles. Dr Tan See Leng replied that the Ministry of Manpower's data shows that professionals, managers, executives and technicians (PMETs) in the information and communications, financial services and professional services sectors have seen relatively higher retrenchment incidence in recent years compared to other sectors and occupation groups, and that higher incidence of retrenchment indicates ongoing restructuring rather than a contraction in PMET demand. MOM does not have data on salary premiums for AI skills, as AI adoption by companies in Singapore is still at an early stage, and salaries depend on many factors beyond AI proficiency, including sector, experience and market conditions. On support measures, the Minister cited Workforce Singapore's Career Conversion Programmes, which support individuals, including those in clerical and back-office roles, to pivot into new job roles with good longer-term prospects, and the Graduate Industry Traineeship scheme, which provides fresh graduates who have not found full-time jobs with structured, industry-relevant work experience. SkillsFuture Singapore is making AI learning pathways easier to navigate so working adults can identify courses suited to their proficiency levels and sought by employers. Later this year, Singaporeans who take up eligible AI training courses will receive six months complimentary access to premium versions of AI tools. The Government will continue to monitor labour market trends closely and calibrate support as jobs evolve.
15 Parliament Substantive debate

An Artificial Intelligence (AI) Transition with No Jobless Growth (Motion Moved)

NTUC Secretary-General Ng Chee Meng (Jalan Kayu) moved a parliamentary Motion on the evening of 5 May — also standing in the names of Mr Mark Lee, Mr Saktiandi Supaat and Ms Yeo Wan Ling — calling on the House to affirm that AI-enabled growth must be anchored in fairness, resilience and opportunity for all, and that Si...

Policy Signal: The Labour Movement is proactively renewing the compact that workers advance as the economy advances for the AI era, signalling that Singapore will embed employment outcomes and worker protections into its national AI growth agenda through tripartism rather than remediate after disruption.
Open digest, stances, and transcript

NTUC Secretary-General Ng Chee Meng (Jalan Kayu) moved a parliamentary Motion on the evening of 5 May — also standing in the names of Mr Mark Lee, Mr Saktiandi Supaat and Ms Yeo Wan Ling — calling on the House to affirm that AI-enabled growth must be anchored in fairness, resilience and opportunity for all, and that Singapore must not have jobless growth. Citing NTUC surveys (one in five respondents named job security their top concern; 56% of PMEs felt they needed to upskill), he laid out four practical moves: building a Singapore-specific labour-market intelligence and foresight system; enabling enterprises to transform with AI alongside workers by scaling the Company Training Committee model (over 3,800 CTCs since 2019, benefiting more than 300,000 workers) jointly with SNEF under the new Tripartite Jobs Council; expanding training pathways such as AI-Ready SG (targeting over one million training places in the coming years); and helping displaced workers bounce back with dignity, including advance notification of retrenchments to the Government and expanding SkillsFuture Jobseeker Support coverage from the roughly $5,000 median income towards PME median income levels. The debate was adjourned to the next sitting day after his speech.

Key Points
  • • Four-part Motion: recognise AI's transformative power, anchor growth in fairness, equip workers and enterprises, no jobless growth
  • • NTUC surveys: one in five respondents cite job security as top concern; 56% of PMEs feel they need to upskill
  • • Over 3,800 CTCs since 2019 benefiting 300,000 workers; proposal to scale nationwide jointly with SNEF
  • • Proposed expanding JSS coverage from the roughly $5,000 median income to PME median income levels
Government Position
The Government has the Prime Minister chairing the National AI Council, committed at Budget to supporting workers and companies in adapting to an AI-enabled economy, and has set up the Tripartite Jobs Council with unions and employers to drive enterprise transformation, job redesign and worker transitions.
"Not AI instead of workers, but AI working for workers across all collars, across enterprises."
Original transcript excerpt
At 8.29 pm on 5 May 2026, Mr Ng Chee Meng (Jalan Kayu), Secretary-General of NTUC, moved a Motion — also standing in the names of Mr Mark Lee, Mr Saktiandi Supaat and Ms Yeo Wan Ling — that the House recognise the transformative power of AI to drive Singapore's next phase of economic development, anchor AI-enabled growth in fairness, resilience and opportunity for all, equip workers and enterprises to seize new opportunities, and affirm that Singapore must not have jobless growth. Speaking to anxious young graduates, mid-career PMEs and blue-collar workers, he noted that AI is automating routine junior tasks even as it creates new roles; one in five NTUC survey respondents cited job security as their top concern, and 56% of PMEs felt they needed to upskill. He outlined four practical moves. First, build a Singapore-specific system of labour-market intelligence and foresight, combining trade association insights, enterprise data and union sensing. Second, enable enterprises — especially SMEs, which employ about 70% of the workforce — to transform with AI in ways that benefit workers, scaling the Company Training Committee model (more than 3,800 CTCs since 2019, benefiting over 300,000 workers) jointly with SNEF under the new Tripartite Jobs Council; he cited Tan Tock Seng Hospital's AI-enabled PreSAGE fall-risk monitoring system as an example of AI augmenting nursing work. Third, help workers seize new opportunities through e2i's AI Career Coach, NTUC LearningHub skills pathways and AI-Ready SG, which has put more than 4,000 workers through AI training since February, with plans to scale to over one million training places. Fourth, enable displaced workers to bounce back with dignity: advance notification of retrenchments to the Government before the last working day, early deployment of career support through 27 National Career Centres, and expanding SkillsFuture Jobseeker Support coverage from the roughly $5,000 median income closer to PME median income levels. Declaring that "in Singapore, every worker matters", he begged to move; the debate was then adjourned to the next sitting day.
15 Parliament Mild scrutiny

Review of Personal Data Protection Act 2012 to Address Use of Inferred or Derived Data Generated by AI

Workers' Party MP Dennis Tan Lip Fong asked the Ministry of Digital Development and Information in writing whether it intends to review the Personal Data Protection Act 2012 (PDPA) to address the use of inferred or derived data, including behavioural profiles generated by AI systems, and if so, what principles would gu...

Policy Signal: Singapore is staying the course of "existing law plus soft guidelines" for data protection in the AI era, signalling no near-term standalone amendment for AI-inferred data.
Open digest, stances, and transcript

Workers' Party MP Dennis Tan Lip Fong asked the Ministry of Digital Development and Information in writing whether it intends to review the Personal Data Protection Act 2012 (PDPA) to address the use of inferred or derived data, including behavioural profiles generated by AI systems, and if so, what principles would guide such a review. Minister Josephine Teo replied that under the PDPA, data about an identifiable individual is personal data which organisations must safeguard when in their possession or control, and this also covers data about the individual that an organisation derives in the course of business from such personal data. She added that the Personal Data Protection Commission has published Advisory Guidelines on the Use of Personal Data in AI Recommendation and Decision Systems, setting out principles such as using data only for legitimate business purposes and limiting collection to what is needed. The reply effectively declines to commit to legislative review: the Government's position is that existing statutory definitions already cover derived data, supplemented by soft-law guidelines, leaving AI behavioural profiling without a dedicated legislative response.

Key Points
  • • The Government holds that existing PDPA definitions already cover data derived in the course of business
  • • PDPC has issued Advisory Guidelines on personal data use in AI recommendation and decision systems
  • • Guideline principles: legitimate business purposes only, collection limited to what is needed
  • • No commitment to a PDPA legislative review targeting AI behavioural profiling
Government Position
The Government holds that the PDPA's existing definition of personal data already covers data organisations derive in the course of business, and that combined with PDPC's AI advisory guidelines, no immediate legislative amendment is needed.
Questioning Position
Workers' Party MP Dennis Tan Lip Fong takes the view that AI-generated inferred data and behavioural profiles pose a new class of risk warranting a dedicated legislative response through a PDPA review.
"This also covers data about the individual that an organisation derives in the course of business from such personal data."
Original transcript excerpt
Mr Dennis Tan Lip Fong asked the Minister for Digital Development and Information (a) whether the Ministry intends to review the Personal Data Protection Act 2012 to address the use of inferred or derived data, including behavioural profiles generated by Artificial Intelligence systems; and (b) if so, what principles will guide such a review. Mrs Josephine Teo replied that under the Personal Data Protection Act, data about an identifiable individual is considered personal data, and an organisation has obligations to safeguard such data in its possession or control. She stated that this also covers data about the individual that an organisation derives in the course of business from such personal data — meaning that, in the Government's reading, inferred and derived data already fall within the statute's existing protections rather than sitting in a legislative gap. The Minister further pointed to the Advisory Guidelines on the Use of Personal Data in Artificial Intelligence (AI) Recommendation and Decision Systems published by the Personal Data Protection Commission. These guidelines set out principles to guide organisations and consumers on the responsible collection and use of personal data in AI systems, such as using data only for legitimate business purposes and limiting data collection to what is needed. The answer did not commit to a review of the Act itself, nor did it set out principles for any future review, resting instead on the position that the current statutory definition of personal data, supplemented by PDPC's advisory guidelines, already addresses AI-generated inferred and derived data including behavioural profiles.
15 Parliament Information

Impact of AI Adoption on Junior Lawyer Training Pipelines and Addressing Developmental Gaps Through One-year Practice Training Framework

Workers' Party NCMP Mr Low Wu Yang Andre asked the Minister for Law in writing whether the Government has assessed the risk that widespread AI adoption in law firms will shrink the routine work — research and drafting — through which junior lawyers have traditionally developed professional judgment, and whether the new...

Policy Signal: AI's impact on the legal profession has entered the parliamentary agenda; by consolidating its reply into a single oral answer, the Ministry of Law signals it is framing AI's effect on lawyer training as a holistic policy question rather than answering piecemeal.
Open digest, stances, and transcript

Workers' Party NCMP Mr Low Wu Yang Andre asked the Minister for Law in writing whether the Government has assessed the risk that widespread AI adoption in law firms will shrink the routine work — research and drafting — through which junior lawyers have traditionally developed professional judgment, and whether the new one-year practice training framework under the revised admission process is designed specifically to address this risk. Minister for Law Edwin Tong gave no substantive reply, stating that the Ministry of Law would answer this question orally together with other parliamentary questions filed on the same topic at the next available opportunity, and pointed to the consolidated reply "Workload Reduction at Law Firms from AI Use and Guidelines for Such Use" in the Official Report of 6 May 2026. The underlying tension: AI automation is eroding the legal profession's traditional apprenticeship pathway, while the Government's systematic assessment of the training-pipeline gap has yet to be made public.

Key Points
  • • WP MP asked whether AI is cutting the research and drafting work junior lawyers learn from
  • • He also asked if the one-year practice training framework specifically targets this risk
  • • Law Minister Edwin Tong said the question would be answered orally with related questions
  • • The substantive reply appears in a consolidated answer dated 6 May 2026
Government Position
The Ministry of Law declined to answer in writing, opting to reply orally together with other parliamentary questions filed on the same topic at the next available opportunity.
Questioning Position
WP MP Low Wu Yang Andre pressed the Government on whether AI adoption is hollowing out junior lawyers' traditional training pathway and whether the new training framework specifically addresses that risk.
"The Ministry of Law will provide an oral reply to this Parliamentary Question, together with other Parliamentary Questions which have been filed on this topic at the next available opportunity."
Original transcript excerpt
Mr Low Wu Yang Andre asked the Minister for Law whether the Ministry has assessed the risk that widespread AI adoption in law firms will reduce the volume of routine work, such as research and drafting, through which junior lawyers have traditionally developed professional judgment; and whether the new one-year practice training framework under the revised admission process is designed to address this risk specifically. The question reflected a concern that as law firms deploy AI tools to automate legal research, document review and first drafts, the apprenticeship pathway through which trainees historically acquired core professional skills could be hollowed out, leaving developmental gaps in the profession's training pipeline. Mr Edwin Tong Chun Fai, the Minister for Law, replied that the Ministry of Law would provide an oral reply to this Parliamentary Question, together with other Parliamentary Questions which had been filed on the same topic, at the next available opportunity. He referred Members to the consolidated response titled "Workload Reduction at Law Firms from AI Use and Guidelines for Such Use", published in the Official Report of 6 May 2026 (Vol 96, Issue 30), in the section for Written Answers to Questions for Oral Answer not Answered by End of Question Time. The substantive assessment of AI's impact on junior lawyer training, and of whether the one-year practice training framework is designed to mitigate that impact, was therefore deferred to the combined oral reply rather than answered individually in this written answer.
15 Parliament Mild scrutiny

Independent Audits and Verification of Algorithms Used in Third-party Predictive Analytics or Data-fusion Software Utilised by Government Security Agencies

Workers' Party MP Low Wu Yang Andre filed a written question on the third-party predictive analytics and data-fusion software used by Government security agencies: do these agencies conduct independent audits of the underlying algorithms, and is the Government satisfied it can independently verify such software's metho...

Policy Signal: Singapore manages third-party AI procurement in the security domain through ministry-level governance frameworks, favouring internal audits over publicly disclosed external verification mechanisms.
Open digest, stances, and transcript

Workers' Party MP Low Wu Yang Andre filed a written question on the third-party predictive analytics and data-fusion software used by Government security agencies: do these agencies conduct independent audits of the underlying algorithms, and is the Government satisfied it can independently verify such software's methodology before relying on it for operational decisions? Coordinating Minister for National Security and Minister for Home Affairs K Shanmugam replied that MHA has an AI governance framework covering the development and use of AI tools; all predictive analytics and data-fusion software, including third-party vendors' underlying algorithms, are evaluated against this framework, with risk assessment and mitigation applied per use case, and independent assessments and audits performed before and after deployment to ensure compliance. The exchange touches the accountability dilemma of algorithmic decision-making in security agencies: the opposition pushes for external verifiability, while the Government holds that its internal governance framework suffices, without disclosing who audits or how.

Key Points
  • • MHA has an AI governance framework covering AI tool development and use
  • • Third-party vendors' underlying algorithms are evaluated under the same framework
  • • Risk assessment and mitigation are applied per use case
  • • Independent assessments and audits run before and after AI deployment
Government Position
The Government holds that MHA's existing AI governance framework, plus independent assessments and audits before and after deployment, sufficiently manages the risks of using third-party algorithms in security operations.
Questioning Position
Workers' Party MP Low Wu Yang Andre questioned whether the Government can independently verify third-party algorithms' methodology before relying on them for operational decisions, pressing for stronger external audit accountability.
"Independent assessments and audits are performed before and after deployment of the AI application to ensure compliance."
Original transcript excerpt
Mr Low Wu Yang Andre asked the Coordinating Minister for National Security and Minister for Home Affairs two related questions about the algorithmic tools used by Government security agencies: first, whether agencies that use third-party predictive analytics or data-fusion software conduct independent audits of the underlying algorithms; and second, whether the Government is satisfied that it can independently verify the methodology of such software before relying on it for operational decisions. Mr K Shanmugam replied that the Ministry of Home Affairs (MHA) has an AI governance framework on the development and use of AI tools. All predictive analytics and data-fusion software used by the ministry, including underlying algorithms supplied by third-party vendors, are evaluated on this framework, so that externally procured algorithms are subject to the same governance treatment as internally developed tools. Beyond the framework-level evaluation, risk assessment and mitigation measures are applied to manage risks arising in specific use cases. Finally, independent assessments and audits are performed both before and after deployment of each AI application to ensure compliance with the framework. The Minister's answer did not name the bodies that conduct these independent assessments, nor describe the audit methodology, but confirmed that verification is built into both the pre-deployment evaluation stage and the post-deployment operation stage of MHA's use of predictive analytics and data-fusion software.
15 Parliament Information

Assessing Adequacy of Current Cybersecurity Readiness against Evolving Threats while Ensuring Operational Security

MP Sharael Taha, citing rising geopolitical tensions and the growing use of cyber operations in hybrid conflict, asked in writing whether the Government assesses that Singapore's cyber threat exposure has heightened, and how it assesses overall cybersecurity readiness to protect critical information infrastructure, Gov...

Policy Signal: AI-enabled attacks are now formally part of Singapore's national cyber defence threat model, with regulatory focus cascading from critical infrastructure to the government supply chain and consumer devices.
Open digest, stances, and transcript

MP Sharael Taha, citing rising geopolitical tensions and the growing use of cyber operations in hybrid conflict, asked in writing whether the Government assesses that Singapore's cyber threat exposure has heightened, and how it assesses overall cybersecurity readiness to protect critical information infrastructure, Government systems, businesses and residents against evolving threats including AI-enabled attacks, without compromising operational security. Minister for Digital Development and Information Josephine Teo replied that Singapore's status as a financial hub and digital economy makes it an attractive target; critical systems face higher standards under the Cybersecurity Act; the Cyber Security Agency (CSA) will update standards and equip critical-system owners with proprietary threat detection systems against advanced threat actors and AI-enabled threats; GovTech will require Government vendors managing critical systems to meet Cyber Trust Mark requirements; and the mandatory baseline for home routers will rise from Cyber Labelling Scheme Level 1 to Level 2, with similar standards explored for IP cameras. The Government conceded that even with the best defences, vigilance against AI-enabled cyber threats remains necessary.

Key Points
  • • Critical-system owners will get proprietary threat detection systems against AI-enabled threats
  • • Government vendors managing critical systems must meet Cyber Trust Mark requirements
  • • Mandatory home router baseline rises from Cyber Labelling Scheme Level 1 to Level 2, with IP cameras next
  • • CSA's CISO-as-a-Service gives SMEs access to cybersecurity consultants
Government Position
The Government maintains that Singapore has a robust and adaptive cybersecurity posture, while acknowledging that standards, detection capabilities and vendor obligations must keep escalating against evolving threats including AI-enabled attacks.
"However, even with the best of defenses, we must remain vigilant and alert to evolving threats including AI-enabled cyber threats."
Original transcript excerpt
Mr Sharael Taha asked the Minister for Digital Development and Information, in light of rising geopolitical tensions and the increasing use of cyber operations as part of hybrid conflict, whether the Government assesses that Singapore's cyber threat exposure has heightened, and how it assesses Singapore's overall cybersecurity readiness in safeguarding critical information infrastructure, Government systems, businesses and individual residents against evolving threats, including AI-enabled attacks, without compromising operational security. Mrs Josephine Teo replied that Singapore's position as a major financial hub and digital economy makes it an attractive target for malicious actors, with the Cyber Security Agency of Singapore (CSA) regularly updating the public through SingCERT advisories and the Singapore Cyber Landscape publication. Critical systems are held to higher cybersecurity standards and obligations under the Cybersecurity Act, while capability investments such as CSA's Cybersecurity Development Programme strengthen the talent pipeline and national exercises like Exercise Cyber Star enhance operational readiness across public and private sectors. As threats evolve, CSA will review and update cybersecurity standards and obligations, and the Government will help owners of critical systems detect advanced threat actors and AI-enabled threats, including by equipping them with proprietary threat detection systems. For Government systems, GovTech will introduce more stringent cybersecurity and data protection obligations for vendors, such as requiring those managing critical systems and sensitive Government data to meet Cyber Trust Mark requirements. For businesses, CSA's CISO-as-a-Service programme gives small and medium enterprises access to cybersecurity consultants. For citizens, home routers must currently meet Cyber Labelling Scheme Level 1 requirements, which will be raised to Level 2, and similar standards are being explored for IP cameras. The Minister concluded that Singapore maintains a robust and adaptive posture but must remain vigilant against evolving threats, including AI-enabled cyber threats.
15 Parliament Mild scrutiny

Outcomes and Effectiveness of AI-related SkillsFuture Programmes

Dr Wan Rizal asked in writing whether the Ministry of Education tracks two hard metrics for participants in AI-related SkillsFuture programmes: employment in AI-related roles within six months, and median wage change within 12 months of completion. Minister for Education Desmond Lee replied that for placement programme...

Policy Signal: Singapore's AI reskilling system still leans on soft metrics for outcome accountability, and the hard-data gap on job conversion and wage gains is emerging as a parliamentary concern.
Open digest, stances, and transcript

Dr Wan Rizal asked in writing whether the Ministry of Education tracks two hard metrics for participants in AI-related SkillsFuture programmes: employment in AI-related roles within six months, and median wage change within 12 months of completion. Minister for Education Desmond Lee replied that for placement programmes such as the SkillsFuture Career Transition Programmes (SCTPs), SkillsFuture Singapore (SSG) tracks placement rates: of the 8,000 learners who completed ICT-related SCTPs between June 2022 and March 2025, 44% found new roles or employment within six months (as of 30 September 2025). Wage outcomes are not tracked, on the grounds that multiple factors affect wages. Shorter courses are generally not tracked for placement; instead, SSG collects learner feedback through the TRAQOM survey on programme quality and perceived outcomes, published on the MySkillsFuture portal. The exchange exposes a tension: government investment in AI skills training is substantial, but effectiveness measurement still leans on subjective feedback rather than the employment and wage data the MP sought.

Key Points
  • • 44% of 8,000 ICT-related SCTP completers found new roles within six months
  • • SSG does not track SCTP learners' wage outcomes, citing multiple confounding factors
  • • Shorter courses are generally not tracked for placement outcomes
  • • TRAQOM survey feedback is published on the MySkillsFuture portal
Government Position
The Government holds that placement rates combined with learner feedback surveys suffice to measure AI-related training effectiveness, and that wage tracking is impractical given the many confounding factors.
"Of the 8,000 learners who completed their ICT-related SCTP between June 2022 and March 2025, 44% found new roles or employment within six months of SCTP completion (as of 30 September 2025)."
Original transcript excerpt
Dr Wan Rizal asked the Minister for Education, regarding participants in AI-related SkillsFuture programmes, whether the Ministry tracks (i) employment in AI-related roles within six months of completion and (ii) median wage change within 12 months of completion. Mr Desmond Lee replied that the Ministry of Education and SkillsFuture Singapore (SSG) adopt a variety of quality and outcome metrics to assess the effectiveness of SkillsFuture-funded Continuing Education and Training (CET) programmes, including those that equip learners with AI-related skills. For placement programmes, such as the SkillsFuture Career Transition Programmes (SCTPs), SSG tracks placement rates: of the 8,000 learners who completed their ICT-related SCTP between June 2022 and March 2025, 44% found new roles or employment within six months of completion, as of 30 September 2025. The Ministry has not tracked the wage outcomes of these SCTP learners, as multiple factors can affect their wages. SSG generally does not track the placement outcomes of shorter courses, which are intended to equip learners with up-to-date skills so they can remain relevant and perform better in their current roles rather than transition to new jobs. Beyond placement outcomes, SSG tracks learner feedback through the Training Quality and Outcomes Measurement (TRAQOM) survey, which covers programme quality and perceived outcomes, including whether the training has helped individuals become more effective at their jobs, improve their work performance or take on enhanced responsibilities. The TRAQOM ratings of each course, including AI-related courses, are published on the MySkillsFuture portal to guide learners in selecting suitable training programmes.
15 Parliament Mild scrutiny

Energy Crisis, AI Data-Centre Demand and the Impact on Hiring Prospects

Yio Chu Kang MP Yip Hon Weng and Bukit Panjang MP Liang Eng Hwa asked how the Middle East-triggered energy crisis is affecting hiring prospects. Manpower Minister Tan See Leng said the labour market remains resilient for now but firms have turned cautious — the share intending to hire in the next three months fell from...

Policy Signal: AI compute is formally folded into national energy and employment strategy: government frames AI data-centre energy demand as a core variable for industrial transformation and workforce planning, not a peripheral issue.
Open digest, stances, and transcript

Yio Chu Kang MP Yip Hon Weng and Bukit Panjang MP Liang Eng Hwa asked how the Middle East-triggered energy crisis is affecting hiring prospects. Manpower Minister Tan See Leng said the labour market remains resilient for now but firms have turned cautious — the share intending to hire in the next three months fell from 54.6% in February 2026 to 44.6% in March, with early signs of stabilisation in April. On longer-term structural impact, he said the crisis would accelerate shifts already underway (supply-chain diversification, digitalisation) and pointed directly to AI's energy implications: "with the move towards a pervasive adoption of AI, there will be a need for even more energy to drive the data centres and the high compute requirements of these AI data centres. Energy is really the new currency." Dr Choo Pei Ling asked whether workforce planning is adapting to persistent uncertainty from overlapping trade fragmentation, technological change and sectoral restructuring; the Minister answered "a resounding yes," citing over 12 hours of debate across two days (seven on AI).

Key Points
  • • Hiring-intent share fell from 54.6% (Feb) to 44.6% (Mar), stabilising in early April
  • • AI adoption drives data-centre compute energy demand — "energy is the new currency"
  • • Crisis accelerates existing shifts: supply-chain diversification, digitalisation, AI adoption
  • • Workforce planning explicitly adapting to overlapping tech change and sectoral restructuring
Government Position
Labour market steady for now but firms cautious; treats the crisis as a structural catalyst accelerating AI adoption and the energy transition, reshaping long-term workforce planning around energy as the "new currency" powering AI compute.
"And with the move towards a pervasive adoption of AI, there will be a need for even more energy to drive the data centres and the high compute requirements of these AI data centres. Energy is really the new currency and it is existential for all of us."
Original transcript excerpt
Mr Yip Hon Weng (Yio Chu Kang) and Mr Liang Eng Hwa (Bukit Panjang) asked the Minister for Manpower to assess how the energy crisis triggered by the Middle East conflict was affecting hiring prospects — for graduates and mid-career entrants, on entry-level job creation and job-search duration, the sectors most affected, and what further measures were being considered. The Minister for Manpower, Dr Tan See Leng, addressing both questions together, said energy-intensive and outward-oriented sectors saw the most impact, compounding pressures on export-oriented sectors already hit by trade fragmentation. While the labour market remained resilient for now, firms had grown more cautious: the proportion intending to hire in the next three months fell from 54.6% in February 2026 to 44.6% in March, with early signs of stabilisation in April. Jobseekers could tap Workforce Singapore and SkillsFuture Singapore services. Asked by Mr Yip whether firms were shifting hiring preferences between local and foreign workers, Dr Tan said no such shift had been seen and that resident employment continued to grow in Q1 2026. On Mr Liang's question about permanent structural changes and new opportunities, Dr Tan said it was premature to conclude, but the crisis would likely accelerate shifts already underway — supply-chain diversification and digitalisation — noting Parliament had spent seven hours the previous day on AI adoption, the energy transition and energy resilience. With pervasive AI adoption, he said, even more energy would be needed to drive data centres and their high compute requirements: "energy is really the new currency." Dr Choo Pei Ling (Chua Chu Kang) asked whether workforce planning was being adapted for persistent structural uncertainty from overlapping trade fragmentation, technological change and sectoral restructuring; Dr Tan replied "a resounding yes," referencing the Economic Strategy Review and over 12 hours of recent debate on preparing and investing in workers.
15 Parliament Information

Tighter Controls and Real-time Anomaly Detection for SIM Card Purchases, Re-registration Patterns and GSM Gateway Misuse

Mr Victor Lye asked MDDI whether the Government would consider tighter controls and real-time anomaly detection for bulk SIM card purchases, SIM re-registration patterns and GSM gateway misuse, given their role in making overseas scam calls appear local. Senior Minister of State Tan Kiat How replied that upstream contr...

Policy Signal: AI and data analytics are now core tools for telecom-layer scam interdiction, while detection thresholds and details are kept confidential on operational-security grounds.
Open digest, stances, and transcript

Mr Victor Lye asked MDDI whether the Government would consider tighter controls and real-time anomaly detection for bulk SIM card purchases, SIM re-registration patterns and GSM gateway misuse, given their role in making overseas scam calls appear local. Senior Minister of State Tan Kiat How replied that upstream controls are already in place: from 1 October 2025 scam mules are barred from new mobile lines, and from 28 February 2026 each person is capped at 10 postpaid SIMs across all telcos (on top of the existing three-prepaid cap), while in 2025 the Police disrupted over 105,000 scam-related mobile lines. IMDA, GovTech and the Police use data analytics to detect suspicious purchase and registration patterns. Mr Lye pressed on whether there is real-time monitoring and who sets the thresholds. Mr Tan stressed this is a multi-agency and whole-of-society effort with the private sector, cited the saying (a Chinese proverb about defenders and adversaries perpetually escalating against one another) to explain that thresholds are adjusted dynamically, and — citing operational security — declined to share details while confirming the use of technology and data analytics, including AI. He noted phone-as-first-contact cases have fallen and SMS-as-first-contact cases dropped about 65% (from 1,285 in 2024 to 450 in 2025), and introduced SIMCardHowMany, a tool jointly built by IMDA and GovTech for the public to check how many postpaid SIMs are registered in their name.

Key Points
  • • IMDA/GovTech/Police use data analytics to flag suspicious SIM purchase and re-registration patterns
  • • Minister confirms anti-scam detection leverages technology including AI, but withholds details for operational security
  • • Postpaid SIMs capped at 10 per person (from 28 Feb 2026); 105,000+ scam lines disrupted in 2025
  • • SMS-first-contact scams fell ~65%; SIMCardHowMany tool lets the public check SIMs in their name
Government Position
Places upstream controls via multi-agency and private-sector collaboration, detecting dynamically with AI and data analytics, with thresholds set jointly across agencies and continually adjusted as tactics evolve.
"But certainly, we are using technology, data analytics, including leveraging technologies like AI."
Original transcript excerpt
Mr Victor Lye (Ang Mo Kio) asked the Minister for Digital Development and Information whether the Government would consider tighter controls and real-time anomaly detection for bulk SIM card purchases, SIM re-registration patterns and GSM gateway misuse, given their role in enabling overseas scam calls to appear local. The Senior Minister of State, Mr Tan Kiat How, replying on the Minister's behalf, said the Government has put in place upstream controls: IMDA has worked with the Singapore Police Force to tighten SIM registration, barring scam mules from new mobile lines since 1 October 2025 and capping each person at 10 postpaid SIMs across all telcos from 28 February 2026, on top of the existing three-prepaid cap. In 2025 the Police disrupted more than 105,000 scam-related mobile lines, and IMDA, GovTech and the SPF use data analytics to detect suspicious purchase and registration patterns. GSM gateways are regulated by IMDA, with devices of five or more SIM slots needing prior approval for import since 1 February 2025, and mules supplying SIMs facing penalties. In supplementary questions, Mr Lye asked whether there is real-time, cross-agency monitoring of unusual data usage and GSM gateways, and who mandates the monitoring thresholds and data criteria. Mr Tan described a multi-agency effort spanning MDDI, MHA, IMDA, GovTech, SPF, ICA and MAS, working with telcos, banks and e-commerce platforms, and said thresholds are reviewed jointly and refined dynamically. Citing the saying (a Chinese proverb about defenders and adversaries perpetually escalating against one another) and operational-security considerations, he declined to share operational details but confirmed the use of technology and data analytics, including AI. He noted that phone-as-first-contact cases have decreased and SMS-as-first-contact cases fell about 65% (from 1,285 in 2024 to 450 in 2025), and pointed to SIMCardHowMany, a tool jointly developed by IMDA and GovTech that lets the public check how many postpaid SIMs are registered under their names and report any discrepancies to their telcos.
15 Parliament Mild scrutiny

Review of Singapore's Water Security Due to Rising Demands from Data Centres, Urban Expansion and Climate Variability

Workers' Party MP Ms He Ting Ru asked the Minister for Sustainability and the Environment, with rising water demands from data centres, urban expansion and climate variability affecting local reservoirs, for the latest assessment of Singapore's water-insecurity risks — particularly ahead of the 2061 Johor Water Agreeme...

Policy Signal: Data-centre compute demand enters the national water-security risk ledger, but the Government answers with the existing Four National Taps framework and cost-down technology, committing to no new dedicated measures.
Open digest, stances, and transcript

Workers' Party MP Ms He Ting Ru asked the Minister for Sustainability and the Environment, with rising water demands from data centres, urban expansion and climate variability affecting local reservoirs, for the latest assessment of Singapore's water-insecurity risks — particularly ahead of the 2061 Johor Water Agreement expiry — and what accelerated measures are planned so the Four National Taps meet future needs without compromising food production or household supply. Minister Grace Fu replied that PUB continues to plan ahead and invest in water infrastructure, factoring in economic and population growth and climate change, and has diversified supply through the Four National Taps, including weather-resilient desalinated water and NEWater. Ms He pressed on two points: first, citing the World Bank's view that water is shifting from a background resource to a binding constraint and estimates of up to 6% GDP impact by 2050, how this systemic-risk framing — including plans to build databanks — is incorporated into fiscal and forward estimates for infrastructure planning; and second, given that the Middle East conflict has driven up energy prices, the impact on energy-intensive desalination costs and how Singapore is responding to prolonged energy-price volatility. Ms Fu reiterated that climate change is built into long-term water planning, that energy cost is a driver PUB has always watched, that PUB keeps seeking new technology to lower production costs including energy, and that recent Middle East events, while exacerbating cost pressure, do not change the long-term focus on bringing costs down.

Key Points
  • • Data centres as compute infrastructure are flagged among the systemic pressures on water security
  • • Minister responds with the Four National Taps plus weather-resilient desalination/NEWater, stressing forward planning
  • • MP frames systemic risk via the World Bank "binding constraint" view and up-to-6%-of-GDP impact by 2050
  • • Desalination is energy-intensive; the Middle East conflict worsens cost pressure but not the long-term cost-down focus
Government Position
Holds to forward planning via the Four National Taps and weather-resilient sources to secure water, while continually using new technology to drive down production costs including energy.
Questioning Position
Argues that demand growth from data centres should be explicitly built into fiscal and infrastructure forward estimates as a systemic risk, and asks for the energy-volatility impact on desalination costs to be quantified.
"The World Bank has recently stated that the water will shift from a background resource to a binding constraint."
Original transcript excerpt
Ms He Ting Ru (Sengkang) asked the Minister for Sustainability and the Environment, with rising water demands from data centres, urban expansion and climate variability affecting local reservoirs, for the latest assessment of Singapore's water-insecurity risks — particularly ahead of the 2061 Johor Water Agreement expiry — and what accelerated measures are planned to ensure the Four National Taps meet future needs without compromising food production or household supply. The Minister, Ms Grace Fu Hai Yien, replied that PUB continues to plan ahead and invest in water infrastructure to meet future demand, taking into account economic and population growth and the impact of climate change, and has diversified supply through the Four National Taps, including desalinated water and NEWater as weather-resilient sources. In supplementary questions, Ms He raised two points. First, noting that water scarcity could carry implications of up to 6% of GDP by 2050 and that the World Bank has said water will shift from a background resource to a binding constraint, she asked how this systemic-risk framing — including plans to build databanks and climate-driven demand increases — is being incorporated into fiscal and forward estimates for public-infrastructure planning. Second, given that the Middle East conflict has driven up energy costs and made oil and natural gas highly volatile, and that much of Singapore's supply comes from energy-intensive sources such as desalination, she asked about the impact on desalinated-water costs and how Singapore is responding to prolonged energy-price volatility in its desalination cost modelling. Ms Fu replied that her answer had addressed the climate-change dimension, that Singapore plans ahead and incorporates climate-change impact in long-term water-infrastructure planning, and that energy cost is a driver PUB has always attended to — setting energy efficiency as a goal and continually searching for new technology to reduce the overall cost of producing water. She added that recent Middle East events have exacerbated this, but do not change the long-term focus on bringing down water-production costs, including energy.
15 Parliament Mild scrutiny

Police Reports on the Circulation of AI-generated Fake Obscene Images of Real Persons

Workers' Party MP Sylvia Lim asked MHA how many police reports were received in 2025 over the circulation of AI-generated fake obscene images of real persons, what proportion involved perpetrators and victims who were fellow students, and what follow-up complainants can expect. Senior Minister of State Sim Ann (replyin...

Policy Signal: Enforcement against AI deepfake sexual imagery: no dedicated tracking, no fixed legal route — case-by-case discretion.
Open digest, stances, and transcript

Workers' Party MP Sylvia Lim asked MHA how many police reports were received in 2025 over the circulation of AI-generated fake obscene images of real persons, what proportion involved perpetrators and victims who were fellow students, and what follow-up complainants can expect. Senior Minister of State Sim Ann (replying for the Coordinating Minister for National Security and Minister for Home Affairs) acknowledged that the Police do not separately track how many obscene-materials cases involve AI-generated images of real persons. On any obscene-material report, the Police investigate as usual — interviewing the accused and witnesses, examining digital forensic evidence; for young victims they may notify parents or guardians and offer victim care services for psychological support; and where the images circulate online, the Police may issue directions under the Online Criminal Harms Act (OCHA) to online service providers to disable Singapore users' access. Lim pressed three supplementaries: (1) whether it is the Police's default to advise victims to act under the Protection from Harassment Act (a non-arrestable offence); (2) whether assisting in image takedowns, as happened after MPs appealed, is routine; and (3) when the Police would classify cases under arrestable Penal Code offences (e.g. ss 377BD, 377BE) and investigate with a view to prosecution. Sim Ann replied that there is no default route — everything depends on the facts disclosed, and where the facts support Penal Code offences relating to the circulation of intimate images, the Police will act accordingly; images circulating online can be blocked via directions to service providers once known in the course of investigation.

Key Points
  • • Police do not separately track AI-generated fake-image obscenity cases
  • • OCHA directions can block Singapore access via service providers
  • • POHA vs arrestable Penal Code charges depends on case facts
  • • Young victims: parents notified, victim care services offered
Government Position
Charge route follows case facts; OCHA takedowns and Penal Code prosecution run in parallel.
Questioning Position
Questions a default steer to the non-arrestable POHA route; presses for arrestable-offence prosecution.
"If the AI-generated obscene images are circulating online, the Police may issue directions under the Online Criminal Harms Act to online service providers to disable Singapore users' access to them."
Original transcript excerpt
Ms Sylvia Lim (Aljunied, Workers' Party) asked the Coordinating Minister for National Security and Minister for Home Affairs how many police reports were received in 2025 concerning the circulation of AI-generated fake obscene images of real persons; what proportion involved perpetrators and victims who were fellow students in educational institutions; and what victims or complainants can expect by way of follow-up. Replying on the Minister's behalf, Senior Minister of State Ms Sim Ann said the Police do not track how many of the obscene-materials cases they investigate involve AI-generated images of real persons. On any such report, the Police investigate — interviewing the accused and other witnesses and examining available digital forensic evidence; for young victims they may notify parents or guardians, and they offer victim care services to those needing psychological support. Where AI-generated obscene images circulate online, the Police may issue directions under the Online Criminal Harms Act (OCHA) to online service providers to disable Singapore users' access. Ms Lim raised three supplementaries: whether it is the Police's default to advise victims to proceed under the Protection from Harassment Act as a non-arrestable offence; whether the Police routinely assist with image takedowns, as they had after appeals on victims' behalf; and when the Police would instead classify cases under arrestable Penal Code offences such as ss 377BD and 377BE and investigate with a view to prosecution. Ms Sim Ann replied that there is no default route — it depends on the facts of each case; where the facts warrant action under the Penal Code for circulating intimate images, the Police will take it, and obscene images circulating online can be blocked through directions to service providers once identified.
15 Parliament Mild scrutiny

Safeguards and Roadmap for Introducing and Monitoring AI Use by Primary School Students

Several MPs (Charlene Chen, Kenneth Tiong, David Hoe and others) jointly questioned MOE on the safeguards and roadmap for introducing AI from primary school. Education Minister Desmond Lee answered four questions together, setting out MOE's "Four Learns" framework — learn about AI, learn to use AI, learn with AI and, m...

Policy Signal: AI-in-education strategy: literacy early, tool use later, guardrails built in, longitudinal research as backstop — rejecting both a blanket ban and wholesale digitalisation.
Open digest, stances, and transcript

Several MPs (Charlene Chen, Kenneth Tiong, David Hoe and others) jointly questioned MOE on the safeguards and roadmap for introducing AI from primary school. Education Minister Desmond Lee answered four questions together, setting out MOE's "Four Learns" framework — learn about AI, learn to use AI, learn with AI and, most importantly, learn beyond AI. The calibrated roadmap: Primary 1–3 covers AI literacy only (awareness of AI's presence) with no work requiring direct AI use; from Primary 4, once pupils have foundational literacy, numeracy and executive-functioning skills, they may use purpose-built educational AI tools with built-in guardrails under teacher supervision (e.g. the writing assistant LEA and Maths LEA in the Student Learning Space), which are designed not to spoon-feed answers and to redirect off-task pupils "Socratically". A mandatory 10-hour "Code for Fun" programme (coding, computational thinking, AI basics) starts from Primary 4, with optional five-hour "AI for Fun" modules on generative AI and computer vision. Pupil data is anonymised and not used to train external models; commercial off-the-shelf tools require checks that inputs contain no personally identifiable information. On research, A*STAR's SG-LEADS longitudinal study (data collection from 2027) will track how children's AI use affects learning and well-being, alongside short-term school-based studies. Kenneth Tiong pressed MOE using Sweden's Karolinska Institute conclusion that "digital tools impair rather than enhance student learning" and Sweden's 2023 reversal of digitalisation (over €200m to reintroduce physical textbooks); Desmond Lee replied that Sweden had gone all-digital from age five and then fully reverted to analog, whereas Singapore takes a blended approach — keeping physical textbooks and teacher-centric teaching, treating AI as a tool, and crucially distinguishing general-purpose AI from purpose-built educational AI, since failing to do so would risk the wrong policy of not using AI at all. On parental opt-out: SLS classroom tools that are part of teaching cannot be opted out of, but externally-brought-in tools requiring consent will not be used without it. Eileen Chong raised the "equity paradox" — that more disadvantaged children with less adult supervision at home may lean on AI more, eroding the very cognitive development it is meant to support; the Minister called this an "evergreen" concern, to be met through internalised AI literacy and home-school-community partnership.

Key Points
  • • MOE "Four Learns": learn about, use, learn with, learn beyond AI
  • • AI literacy from P1; tool use from P4, supervised, education-only tools
  • • SLS tools refuse spoon-feeding, prompt Socratically against offloading
  • • On Sweden reversal: blended path, general-purpose vs educational AI split
Government Position
A calibrated, blended, teacher-supervised AI-literacy path that strictly separates general-purpose from educational AI.
Questioning Position
Cites Sweden's reversal to question the evidence for early AI introduction, warning of cognitive offloading and an equity paradox for disadvantaged pupils.
"It is far better to start AI literacy young and start getting our kids to use AI for learning in a highly scaffolded teacher supervised and of course, parents supervised way."
Original transcript excerpt
Dr Charlene Chen (Tampines), Mr Kenneth Tiong Boon Kiat (Aljunied), Mr David Hoe (Jurong East-Bukit Batok) and others asked the Minister for Education about safeguards, prerequisite skills, the Primary 4 entry point, the implementation roadmap, data transparency, procedural fairness and teacher support for AI use by primary-school pupils. Minister Desmond Lee answered the questions together. He set out the "Four Learns" — learn about AI, learn to use AI, learn with AI, learn beyond AI — and a calibrated, learning-sciences-informed roadmap: AI literacy from Primary 1 with no direct-use work in P1–3; from Primary 4, supervised use of purpose-built educational AI tools with built-in guardrails (the writing assistant LEA and Maths LEA in SLS), which refuse to spoon-feed and redirect off-task pupils Socratically; a mandatory 10-hour Code for Fun programme and optional AI for Fun modules. Pupil data is anonymised and not used to train external models. A*STAR's SG-LEADS longitudinal study will collect data from 2027 to track AI's effect on children's learning and well-being. Dr Chen asked about safeguarding independent thinking, vulnerable and SEN pupils; Mr Tiong pressed on productive struggle, metacognition and Sweden's reversal of digitalisation; Mr Hoe raised teachers asking pupils to use public tools like ChatGPT, age-restriction consent and letting parents try the tools; Ms Eileen Chong Pei Shan (NCMP) raised the equity paradox; Ms Cassandra Lee and Ms Elysa Chen asked about age-based safeguards, the AI "nutrition label" and IP/creator rights. Mr Lee replied that Singapore takes a blended approach — retaining physical textbooks and teacher-centric teaching, treating AI as a tool and strictly distinguishing general-purpose AI from educational AI — and that AI literacy, the home-school partnership and continued calibration are the core safeguards.
15 Parliament Mild scrutiny

Regulating Young People's Access to Social Media after US Negligence Finding against Meta and Alphabet

Mr Vikram Nair, citing the US Court's finding that Meta and Alphabet were negligent in designing platforms that harmed young people, asked MDDI whether the Government would regulate young people's access to social media, including a potential ban. Minister of State Ms Rahayu Mahzam (for MDDI) first noted the matter had...

Policy Signal: Youth online safety pivots from content control to design-feature regulation, names AI companions as an emerging risk, and keeps a ban in reserve.
Open digest, stances, and transcript

Mr Vikram Nair, citing the US Court's finding that Meta and Alphabet were negligent in designing platforms that harmed young people, asked MDDI whether the Government would regulate young people's access to social media, including a potential ban. Minister of State Ms Rahayu Mahzam (for MDDI) first noted the matter had been covered in earlier written replies, then engaged the supplementary: the Government is taking reference from the judgment, whose findings "add to the growing body of evidence"; the harms are real and taken seriously — but it takes a different approach, seeking something more effective and more durable that can withstand the evolution of technology. She stressed that the judgment showed it is specific features and dimensions of platforms that cause harm, not the platforms wholesale, so MDDI targets the specific harms and the specific design features that produce them, calibrated by the user's age — which is "more demanding, more rigorous than a blanket ban". Singapore is not starting from a blank slate: it already has the Code of Practice for Online Safety, age assurance for apps and annual reporting by designated social media services, and has recently acted against X and TikTok. Next, it will extend age assurance to designated social media services and move beyond content to design features — direct messaging from strangers, auto-play, other features driving excessive use, and "emerging risks from AI companions". The Government is not foreclosing a ban ("we will do whatever it takes to protect our young ones"), but notes a blanket ban is not a globally accepted position — Estonia, Belgium and New York State have not applied one, and Australia has amended its law toward a more targeted, design-feature-focused approach.

Key Points
  • • Takes reference from US Meta/Alphabet negligence finding; harms are real
  • • Targets specific harms and design features, age-calibrated, not a blanket ban
  • • Existing Code of Practice + age assurance; recently acted against X, TikTok
  • • Extending regulation from content to design features, incl. "AI companion" risks
Government Position
Rejects a blanket social-media ban in favour of age-calibrated targeting of harmful design features (incl. AI companions), without foreclosing an eventual ban.
"Other features that drive excessive use, emerging risks from AI companions and all that. So, we are actually going to break it down and see how we can improve it."
Original transcript excerpt
Mr Vikram Nair (Sembawang) asked the Minister for Digital Development and Information, in light of the US Court's finding that Meta and Alphabet were negligent in designing platforms that harmed young people, whether the Government would consider action to regulate young people's access to social media, including a potential ban. Minister of State Ms Rahayu Mahzam, replying for MDDI, noted the matter had been addressed in earlier written replies, then took the supplementary. She said the Government is taking reference from the judgment, whose findings add to a growing body of evidence; the harms are real and taken seriously, but the Government prefers a different, more effective and more durable approach that can withstand technological change. Because the judgment showed that specific features and dimensions of social media — not the platforms wholesale — cause harm, MDDI targets the specific harms and the design features producing them, calibrated by the user's age, which she described as more demanding and more rigorous than a blanket ban. She noted Singapore is not starting from a blank slate: it has the Code of Practice for Online Safety, age assurance for apps and annual reporting by designated social media services, and has acted against X and TikTok. Going forward, it will extend age assurance to designated social media services and look beyond content to design features — direct messaging from strangers, auto-play, other features that drive excessive use, and emerging risks from AI companions. The Government is not foreclosing a ban and will do whatever it takes to protect young people, but observed that a blanket ban is not a globally accepted position, citing Estonia, Belgium, New York State and Australia's move toward a more targeted, design-feature-focused approach.
15 Parliament Mild scrutiny

Response to Risks from Frontier AI Models with Potential to Steal Data, Disrupt Critical Infrastructure and Exploit Software Vulnerabilities

Mr Saktiandi Supaat and Mr Edward Chia asked MDDI about the threat that frontier AI models — naming Anthropic's Mythos, which can autonomously identify and exploit software vulnerabilities — pose to Singapore's financial system and critical infrastructure, and whether this constitutes a new class of systemic financial...

Policy Signal: AI cyber-threat response is escalated to board and CEO level, shifting from single-model focus to cross-sector systemic defence.
Open digest, stances, and transcript

Mr Saktiandi Supaat and Mr Edward Chia asked MDDI about the threat that frontier AI models — naming Anthropic's Mythos, which can autonomously identify and exploit software vulnerabilities — pose to Singapore's financial system and critical infrastructure, and whether this constitutes a new class of systemic financial risk. Replying for the Minister, Senior Minister of State Mr Tan Kiat How framed it as a continuum rather than a step change: the Government has no access to Mythos (Anthropic released it only to a limited set of partners under controlled preview, with no local bank granted access), but OpenAI's GPT-5.5 already shows comparable cyber capabilities and is more widely available, and open-source models will likely catch up within months. He cited evidence that AI is already changing attacks — Google's 2025 report on PROMPTFLUX malware, which consults a live AI model mid-attack to rewrite its own code and evade detection, and a 2024 case where criminals used an AI-generated deepfake video call to impersonate a multinational's CFO and trick an employee into transferring US$25.6 million. The Government characterises this as an amplification of an existing systemic risk, not a wholly new category. Concrete actions: MAS has convened the CEOs of major financial institutions to drive collective cyber-resilience action; and CSA issued a letter that day to the boards and senior leadership of all 11 critical information infrastructure (CII) sectors, requiring a review of cyber risk posture in light of AI-enabled threats. Mr Tan set out five priorities (revisit risk assessments, know your assets, patch faster with continuous monitoring, govern your own AI use, and use AI in defence), stressing that the Government is building AI cyber-defence capabilities in-house to avoid dependence on any single external party.

Key Points
  • • AI-enabled cyber risk framed as amplification of existing systemic risk, not a new category
  • • No government access to Mythos, but treated as a capability continuum, not a step change
  • • CSA issued a letter to all 11 CII sectors' boards that day to review cyber risk posture
  • • MAS convened major financial institutions' CEOs to drive collective cyber resilience
Government Position
Treats AI cyber risk as amplifying existing systemic risk; insists on fundamentals first plus using AI in defence, with in-house capability.
"With AI, vulnerabilities that once took expert teams weeks to detect manually can now be identified autonomously in hours, sometimes minutes."
Original transcript excerpt
Mr Saktiandi Supaat and Mr Edward Chia Bing Hui (Holland-Bukit Timah) asked the Minister for Digital Development and Information about the risks from advanced AI models — including Anthropic's Mythos, reported to autonomously identify and exploit software vulnerabilities — to Singapore's financial system and critical infrastructure, whether such AI-enabled cyber risks constitute a new class of systemic financial risk, and whether existing cybersecurity frameworks remain fit for purpose. Replying for the Minister, Senior Minister of State Mr Tan Kiat How said the Government does not have access to Mythos and does not assume early access to every frontier model; instead it maintains working relationships with AI labs and cybersecurity firms to track capabilities. He stressed the shift is a continuum, not a step change: GPT-5.5 already shows comparable capabilities and open-source models are catching up. He cited PROMPTFLUX malware that consults a live AI model to rewrite its code mid-attack, and a 2024 deepfake CFO fraud that moved US$25.6 million. The Government views this as amplifying existing systemic risk rather than a wholly new category. MAS convened major financial institutions' CEOs on cyber resilience; CSA issued a letter that day to all 11 CII sectors' boards and senior leadership to review their cyber risk posture. Mr Tan set out five priorities — revisit risk assessments, know your assets, patch faster with continuous monitoring, govern your own use of AI (per CSA's "Securing Agentic AI" addendum), and use AI in defence. In supplementaries, Mr Edward Chia, Mr Yip Hon Weng and Mr Louis Chua pressed on international norms, framework adequacy, SME support, talent depth, and direct access to Mythos; Mr Tan reiterated that fundamentals matter, that the Government is building in-house AI cyber-defence tools to share with CII owners, and that he has personally engaged the leadership of all 11 CII sectors.
15 Parliament Mild scrutiny

Handling of AI-Generated Fake Obscene Images of Students Within the Comprehensive Action Review Against Bullying

The substance of this debate is MOE's Comprehensive Action Review Against Bullying (caning, restorative practice, reporting channels), with AI as one substantive strand within it. Workers' Party MP Ms Sylvia Lim (Aljunied), in Parliamentary Question No 25, specifically asked whether there is an increasing incidence of...

Policy Signal: AI deepfake obscene content is folded into school governance and the soon-to-launch OSC framework, with ethics education up front and cross-agency takedowns as backstop.
Open digest, stances, and transcript

The substance of this debate is MOE's Comprehensive Action Review Against Bullying (caning, restorative practice, reporting channels), with AI as one substantive strand within it. Workers' Party MP Ms Sylvia Lim (Aljunied), in Parliamentary Question No 25, specifically asked whether there is an increasing incidence of students creating and circulating AI-generated fake obscene images of fellow students, and whether MOE provides guidance on handling such cases. The Minister for Education, Mr Desmond Lee, replied that the technology is recent — cases have risen from zero and the numbers remain small, but MOE is watching closely. The handling pathway includes updated cyber wellness lessons teaching students to use such powerful tools ethically and legally; the Online Safety Commission (OSC), operational by end-June 2026, which will let victims of online harms such as intimate-image abuse seek faster assistance and takedowns; and the recognition that takedowns are a sustained effort when content proliferates across platforms. Where perpetrators are anonymous, schools must work with the OSC and the Police. Mr Lee cited a real 2024 case in which secondary-school students created AI-generated deepfake obscene nudes of female students and were dealt with firmly through both Police investigation and school discipline. Mr Melvin Yong asked whether MOE would work with IMDA and social-media platforms to speed up takedowns of harmful content; the Minister answered yes.

Key Points
  • • Sylvia Lim's PQ 25 specifically asks about AI-generated fake obscene images of students and handling guidance
  • • Minister: the technology is recent, cases risen from zero and numbers still small, watching closely
  • • Three-pronged handling: cyber wellness ethics education + OSC (live end-June) for help and takedowns + Police involvement
  • • Cites a real 2024 case: students made AI deepfake nudes of female schoolmates, dealt with by Police and school discipline
Government Position
Confronts the new harm of AI-generated obscene fake images; responds via ethics education, OSC takedowns and Police involvement, with cross-agency cooperation to speed removals.
Questioning Position
The Workers' Party presses for clarity on the rising trend of AI fake images in schools and the handling guidance, and questions schools' limited investigative powers when perpetrators are anonymous.
"One may recall an unfortunate incident in 2024, where some secondary school students created AI-generated deep fakes of female students, obscene nudes – they were identified and they were dealt with firmly, not just through Police investigation but also by school disciplinary action."
Original transcript excerpt
Within MOE's Comprehensive Action Review Against Bullying, Ms Sylvia Lim (Aljunied, Workers' Party) filed Parliamentary Question No 25 asking the Minister for Education whether there has been an increasing incidence of students creating and circulating AI-generated fake obscene images of fellow students, and whether the Ministry provides guidance on how such cases should be handled. The Minister for Education, Mr Desmond Lee, said cyber incidents range from online harassment to obscene and inappropriate images that may be AI-generated, and MOE will continue to provide schools with guidance on managing them, including fact-finding and supporting students in reporting online harms. He noted the Online Safety Commission (OSC) would be operational by end-June 2026, enabling victims of intimate-image abuse and similar harms to seek timely assistance. In a supplementary, Ms Lim pressed on whether such incidents were rising and how schools should act when perpetrators are unknown. Mr Lee replied that the technology is relatively recent, so incidence has grown from zero and numbers remain small, but MOE is watching closely; cyber wellness education on using these powerful tools ethically, legally and appropriately is key. Where content proliferates across platforms, takedown is a sustained effort, and where perpetrators are anonymous, schools may need to work with the OSC and the Police. He cited a 2024 case in which secondary-school students created AI-generated deepfake obscene nudes of female students and were dealt with firmly through both Police investigation and school discipline. Mr Melvin Yong Yik Chye (Radin Mas) asked whether MOE would work with IMDA and social-media platforms to enable faster takedown of harmful content; the Minister answered yes.
15 Parliament Mild scrutiny

Mandatory Government Security Vetting for Personnel with Access to Singapore's Critical Information Infrastructure

Workers' Party MP Gerald Giam asked MDDI whether mandatory centralised government security vetting should be introduced for personnel with access to Singapore's critical information infrastructure (CII) — including foreign-national technical experts in telco and energy — to mitigate insider threats and state-sponsored...

Policy Signal: CII insider-threat strategy prioritises architectural defence-in-depth over centralised personnel vetting.
Open digest, stances, and transcript

Workers' Party MP Gerald Giam asked MDDI whether mandatory centralised government security vetting should be introduced for personnel with access to Singapore's critical information infrastructure (CII) — including foreign-national technical experts in telco and energy — to mitigate insider threats and state-sponsored APTs. Minister Josephine Teo replied with three positions: (1) profile-based assumptions about who is "safer" are themselves a vulnerability — defence has to assume any person with access could be an insider threat; (2) security vetting is not a silver bullet, since determined adversaries will specifically work around any known vetting regime; (3) the operative model is zero-trust architecture with least-privileged access, continuous verification and anomaly monitoring — defence-in-depth, not vetting alone. Giam pressed whether the public-servant standard (G50) should be extended to CII super-user / admin roles; the Minister noted that for certain access types arrangements already exist, but specific requirements are not publicly disclosed for security reasons.

Key Points
  • • WP calls for mandatory CII personnel security vetting
  • • Minister: zero-trust + least-privileged access is the model
  • • Profile-based trust assumptions rejected as a vulnerability
  • • Specific vetting requirements kept confidential by design
Government Position
Stays with defence-in-depth and zero-trust; rejects single-point reliance on vetting.
Questioning Position
Pushes to extend G50-grade public-servant vetting to CII super-user and admin roles.
"Security by design means that you have all these multiple layers of defences in order to be able to guard against the cyber risk."
Original transcript excerpt
Mr Gerald Giam Yean Song (Aljunied, Workers' Party) asked the Minister for Digital Development and Information whether the Ministry will introduce mandatory, centralised government security vetting for personnel with access to Singapore's critical information infrastructure (CII) to mitigate insider threats; and if not, how the Ministry ensures that current employer-led vetting of personnel — including foreign nationals in sensitive technical roles — is sufficiently robust against sophisticated state-sponsored cyber threats. Minister Mrs Josephine Teo replied that under the Cybersecurity Act, CII owners are required to put in place access management controls and processes to monitor for anomalies and suspicious activities; upon detection of unauthorised activity, owners must investigate. She set out the wider doctrine: profile-based assumptions ("this person is safer than that one") are themselves vulnerabilities; security vetting is not a silver bullet — determined adversaries will work around it; the operative model is zero-trust architecture with least-privileged access, continuous verification, anomaly monitoring and defence-in-depth. On extending public-servant G50 clearance to CII super-user / admin personnel, the Minister said arrangements already exist for certain access types but specific requirements are not publicly disclosed, for security reasons.

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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