Last updated: 2026-06-09 187 debate records
Source: SPRS Hansard · PAIR Search Digests assisted by AI
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Parliamentary AI Focus

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

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Total records
187
Years covered
2015-2026
Updated
2026-06-09
Type mix
Written Answers 68 / Motions 7 / Oral Answers 53 / Budget Debate 59
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Debate Records

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15 Parliament Information

Implementation of Stay-down Measures for Non-consensual Intimate Images and Sexualised Deepfakes under the Online Safety Commission

Rachel Ong filed a written question to the Ministry of Digital Development and Information: (a) whether platforms directed by the Online Safety Commission (OSC) to remove verified non-consensual intimate images, including sexualised deepfakes, will also be required to implement stay-down measures such as hash-matching...

Policy Signal: Singapore's governance of deepfakes and intimate-image abuse has moved from "can it be taken down?" to the operational detail of "how do we prevent re-uploads?", while deliberately not hard-coding stay-down technology as a mandatory duty — keeping the flexibility of "any means that achieves the disabling outcome." Cross-border accessibility remains a structural gap that unilateral enforcement cannot fully close.
Open digest, stances, and transcript

Rachel Ong filed a written question to the Ministry of Digital Development and Information: (a) whether platforms directed by the Online Safety Commission (OSC) to remove verified non-consensual intimate images, including sexualised deepfakes, will also be required to implement stay-down measures such as hash-matching to prevent re-uploads or redistribution; and (b) what powers OSC has to prevent such content from remaining accessible globally, since access-disabling directions only pertain to Singapore end-users. Minister Josephine Teo replied that, on a valid report, the Commissioner of Online Safety is empowered to direct Online Service Providers (OSPs) to disable Singapore users' access to the specified harmful material, and the direction may be extended to identical copies on the platform. The Commissioner will not mandate specific technologies as long as the required outcome is achieved; non-compliance is an offence. Directions bind only access by Singapore users, but OSPs may remove access for others under their own policies and community guidelines.

Key Points
  • • The Commissioner can direct platforms to disable Singapore users' access to specified harmful content, extendable to identical copies on the platform
  • • No specific technology (e.g. hash-matching) is mandated as long as the outcome is achieved; non-compliance is an offence
  • • Directions bind only Singapore-user access; global takedown depends on the platform's own policies
Government Position
The Government governs sexualised deepfakes and similar harms in an outcome-focused, technology-neutral way: it gives the Commissioner power to direct platforms to disable access and cover identical copies, without locking in a specific technology; and while acknowledging the jurisdictional limit that directions reach only local users, it leaves global takedown to platform self-governance.
"The Commissioner of Online Safety is empowered by law to direct Online Service Providers to disable access by Singapore users to the specified harmful online material ... The Commissioner will not direct that specific technologies be used as long as the outcome indicated in the direction is achieved."
Original transcript excerpt
Rachel Ong asked MDDI whether platforms directed by the Online Safety Commission to remove verified non-consensual intimate images, including sexualised deepfakes, must also implement stay-down measures such as hash-matching, and what powers the OSC has to prevent such content remaining globally accessible when disabling directions cover only Singapore users. Minister Josephine Teo replied that the Commissioner of Online Safety can direct Online Service Providers to disable Singapore users' access to specified harmful material, extendable to identical copies, without mandating specific technologies so long as the outcome is achieved; non-compliance is an offence. Directions apply only to access by Singapore users, though OSPs may remove content for others under their own policies.
15 Parliament Information

Watermarking and Digital Provenance Standards for AI-generated Media, Metadata Preservation and Cross-platform Coordination

Rachel Ong filed a written question to the Ministry of Digital Development and Information: while testing standards and technical solutions to manage AI-related risks are still developing, (a) whether the Government is studying watermarking or digital provenance standards for AI-generated media; (b) whether authorities...

Policy Signal: Singapore's governance of AI-generated content sits at a "watch-and-align-with-international-standards" stage, deliberately not front-running a unilateral watermarking standard that could break global interoperability — a contrast with its readiness to legislate decisively in high-risk settings like deepfakes and elections. Until provenance technology matures, it will not rush to mandate.
Open digest, stances, and transcript

Rachel Ong filed a written question to the Ministry of Digital Development and Information: while testing standards and technical solutions to manage AI-related risks are still developing, (a) whether the Government is studying watermarking or digital provenance standards for AI-generated media; (b) whether authorities can compel preservation and disclosure of metadata identifying original uploaders; and (c) what cross-platform coordination measures across social media and websites are being considered. Minister Josephine Teo replied that the Government tracks the development of technical standards for identifying AI-generated content, including watermarking and digital-provenance approaches, and engages international and industry platforms such as the Coalition for Content Provenance and Authenticity (C2PA), which has over 6,000 members including major technology and AI companies. As these standards evolve, it will assess their applicability in the Singapore context, including cross-platform measures. Where criminal offences are disclosed, the Police are empowered to require platforms to disclose information — including uploader metadata and identifiable data where available — to assist investigations.

Key Points
  • • The Government tracks standards for identifying AI-generated content (watermarking, digital provenance) but has not mandated one — it will assess applicability as international standards evolve
  • • It engages international/industry platforms such as the Coalition for Content Provenance and Authenticity (C2PA, 6,000+ members)
  • • Where criminal offences arise, the Police can require platforms to disclose uploader metadata and other information
Government Position
On provenance for AI content, the Government follows international standards rather than setting its own: it plugs into global technical evolution through coalitions like C2PA and holds mandates back until standards mature. Today's real compulsion comes from metadata-disclosure powers in a criminal-investigation setting, not a general watermarking duty.
"The Government tracks the development of technical standards for identifying AI-generated content, including watermarking and digital provenance approaches ... As these technologies and standards continue to evolve, we will assess their applicability in the Singapore context, including cross-platform measures."
Original transcript excerpt
Rachel Ong asked MDDI whether the Government is studying watermarking or digital-provenance standards for AI-generated media, whether authorities can compel preservation and disclosure of metadata identifying original uploaders, and what cross-platform coordination is being considered. Minister Josephine Teo replied that the Government tracks technical standards for identifying AI-generated content — including watermarking and digital provenance — and engages platforms such as the Coalition for Content Provenance and Authenticity (over 6,000 members), assessing applicability to Singapore as standards evolve. Where criminal offences are disclosed, the Police can require platforms to disclose information, including uploader metadata where available.
15 Parliament Mild scrutiny

Key Risk Thresholds to Regulate High-risk AI Deployments and Mandatory Human Oversight for Fully Automated Decisions

Referring to the NAIS Update line that the Government will "regulate or legislate where necessary and effective," Alex Yeo asked MDDI: (a) what key risk factors or thresholds determine when a high-risk AI deployment would warrant regulation; and (b) whether the Ministry will mandate meaningful human oversight over full...

Policy Signal: Under direct pressure to "draw a line" around high-risk AI, Singapore explicitly chooses not to preset a general threshold or an EU-style risk tiering, instead decomposing AI risk into existing laws (employment, scams, elections) piece by piece, with sectoral guidelines as the backstop. This is the core of its divergence from the EU AI Act: no single comprehensive AI statute, but the existing toolbox plus sectoral soft law, tightened dynamically.
Open digest, stances, and transcript

Referring to the NAIS Update line that the Government will "regulate or legislate where necessary and effective," Alex Yeo asked MDDI: (a) what key risk factors or thresholds determine when a high-risk AI deployment would warrant regulation; and (b) whether the Ministry will mandate meaningful human oversight over fully automated decisions that materially affect individuals, such as employment decisions or high-risk scenarios. Minister Josephine Teo replied that, as with any technology, the need for regulation depends on how it is deployed, the nature of harm, and whether existing measures are effective. Many AI risks are already addressed by existing law — employers using AI must still comply with the upcoming Workplace Fairness Act, and the Online Criminal Harms Act lets the Police disrupt AI-enabled scams. Where existing measures are inadequate and a suitable response can be designed, the Government legislates in time, as with the Elections (Integrity of Online Advertising) (Amendment) Act. These are complemented by sectoral guidelines — MAS has consulted on Guidelines on AI Risk Management for financial services, and MOH has updated its AI in Healthcare Guidelines (AIHGle 2.0). The Government will keep studying the appropriate regulatory stance.

Key Points
  • • Whether to regulate depends on deployment, the nature of harm and whether existing measures suffice — no blanket "high-risk" threshold
  • • Many AI risks are already covered by existing law: the Workplace Fairness Act for AI hiring, OCHA for AI-enabled scams, the elections law for deepfakes
  • • Sectoral guidelines (MAS AI risk management, MOH AIHGle 2.0) complement the hard law
Government Position
The Government declines to preset a uniform "high-risk AI" threshold or a general human-oversight mandate, insisting on a case-by-case judgement by deployment and harm, and on reusing existing law first: it looks to statutes like the Workplace Fairness Act and OCHA before legislating anew, and closes gaps softly through sectoral guidelines. This is its "soft law first, hard law only where necessary" approach as applied to high-risk AI.
Questioning Position
Citing the NAIS Update's "regulate or legislate where necessary and effective," Alex Yeo pressed the Government to produce operational thresholds for what counts as "high-risk AI," and asked whether it would mandate human oversight over fully automated decisions that materially affect individuals such as employment — pushing the principle-level stance toward concrete rules.
"In Singapore's context, many artificial intelligence (AI) risks are already addressed through existing legislation ... Where existing measures are assessed to be inadequate and a suitable response can be designed, the Government will ensure its timely implementation."
Original transcript excerpt
Referring to the NAIS Update's "regulate or legislate where necessary and effective," Alex Yeo asked MDDI what risk factors or thresholds determine when a high-risk AI deployment warrants regulation, and whether the Ministry would mandate human oversight over fully automated decisions materially affecting individuals such as in employment. Minister Josephine Teo replied that the need to regulate depends on deployment, the nature of harm and whether existing measures are effective; many AI risks are already addressed by existing law (the Workplace Fairness Act, the Online Criminal Harms Act, the elections advertising law), complemented by sectoral guidelines such as MAS's AI Risk Management guidelines and MOH's AIHGle 2.0. The Government will continue to study the appropriate regulatory stance as the technology and risk landscape evolve.
15 Parliament Information

Intestate Deaths Data and Integration of AI Tools to Improve Will-writing Accessibility

Workers' Party MP Gerald Giam filed a written question to the Ministry of Law: (a) whether the Ministry has data on Singapore Citizens and Permanent Residents who died intestate in each of the last five years; and (b) whether it plans to integrate AI tools to improve the accessibility of will-writing services. Minister...

Policy Signal: As Singapore brings AI into public legal services, it holds to "tool assists, human decides": the state itself builds a digital tool to lower the barrier, yet repeatedly caps it — an AI-generated will is reference only, not a lawyer. It reflects the Government's consistent measure when promoting AI in citizen-facing domains: raise productivity without overstepping, encourage while stressing responsibility.
Open digest, stances, and transcript

Workers' Party MP Gerald Giam filed a written question to the Ministry of Law: (a) whether the Ministry has data on Singapore Citizens and Permanent Residents who died intestate in each of the last five years; and (b) whether it plans to integrate AI tools to improve the accessibility of will-writing services. Minister for Law Edwin Tong replied that the Ministry does not track intestate deaths. He encouraged the public to make a will, noting that AI tools exist today that might assist in preparing one — but that the public must exercise care, whether using AI or not, and should seek professional legal advice. The Government has made resources more accessible, recently launching a Will Learning Tool on MyLegacy@LifeSG to help people understand the considerations before seeking legal advice, which generates a Will Preparation Template for reference — though this is an education tool, not a substitute for legal advice. The Government will keep improving legacy-planning resources, including information on the responsible use of AI in will-making.

Key Points
  • • The Ministry of Law does not track intestate deaths
  • • It acknowledges AI tools can help draft a will, but stresses care and professional legal advice whether or not AI is used
  • • A Will Learning Tool is live on MyLegacy@LifeSG, framed as an education tool, not a substitute for legal advice
Government Position
The Ministry of Law welcomes AI as an aid to legal services while holding a firm line: it acknowledges AI can help draft a will and has launched an official digital tool to lower the barrier, but repeatedly stresses these are education and reference only — not a substitute for professional legal advice — and calls for the "responsible use of AI."
Questioning Position
Using the data gap on intestate deaths, Workers' Party MP Gerald Giam pushed the Ministry of Law to apply AI to lower the barrier to will-writing and improve accessibility — tying AI adoption to ordinary citizens' real legal needs.
"There are artificial intelligence (AI) tools today that might be used to assist in preparing a will. However, the public must exercise care in making their wills, whether using AI or not, and should seek professional legal advice."
Original transcript excerpt
Workers' Party MP Gerald Giam asked the Ministry of Law whether it has data on intestate deaths of Citizens and Permanent Residents over the last five years, and whether it plans to integrate AI tools to improve will-writing accessibility. Minister for Law Edwin Tong replied that the Ministry does not track intestate deaths, encouraged the public to make wills, and noted that AI tools exist that might assist — but stressed care and professional legal advice whether or not AI is used. The Government has launched a Will Learning Tool on MyLegacy@LifeSG that generates a Will Preparation Template for reference, framed as an education tool and not a substitute for legal advice, and will continue improving resources including on the responsible use of AI in will-making.
15 Parliament Information

Public Hospital Robotics Deployment, Clinical Outcomes and Long-term Impact on Healthcare Manpower

Dr Choo Pei Ling filed written questions to the Coordinating Minister for Social Policies and Minister for Health: (a) how many public hospitals deploy (i) surgical robots and (ii) non-clinical service robots (logistics, cleaning, patient assistance); and (b) the measured impact on clinical outcomes, patient safety, st...

Policy Signal: Singapore places medical robotics inside a "address manpower shortages" strategic frame, not mere tech upgrading: it expands surgical robots steadily on the safety floor of "outcomes comparable to conventional surgery," while defining robotics explicitly as a way to ease manpower pressure in nursing and support roles — answering Parliament's concern about whether AI/automation will hit healthcare jobs with an official framing of "fill the gap, not replace."
Open digest, stances, and transcript

Dr Choo Pei Ling filed written questions to the Coordinating Minister for Social Policies and Minister for Health: (a) how many public hospitals deploy (i) surgical robots and (ii) non-clinical service robots (logistics, cleaning, patient assistance); and (b) the measured impact on clinical outcomes, patient safety, staff workload and productivity — plus the Ministry's assessment of the long-term impact of robotics and automation on healthcare manpower in nursing, allied-health and support roles, and whether it plans to track and publish indicators on job redesign and productivity gains. Minister Ong Ye Kung replied that public hospitals such as NUH, SGH and TTSH have deployed robotic-assisted surgical (RAS) systems for minimally invasive soft-tissue surgeries, backed by clinical expertise and sufficient demand; outcomes and post-operative complications for indicated conditions have so far been comparable to conventional approaches. Robotics and automation can improve efficiency, ease workload and improve care; with rising patient numbers, appropriate use can help mitigate manpower shortages, including in allied-health and supportive roles, and a detailed academic study of the impact could be commissioned at an appropriate juncture.

Key Points
  • • Public hospitals (NUH, SGH, TTSH) use robotic-assisted surgery for minimally invasive soft-tissue procedures; outcomes are comparable to conventional surgery
  • • Robotics and automation are framed as a way to ease manpower shortages and workload, including allied-health and support roles
  • • A detailed academic study of the clinical and manpower impact could be commissioned at an appropriate time
Government Position
The Ministry of Health advances medical robotics in a cautious, pragmatic way: deploying robotic-assisted surgery in hospitals with the clinical expertise and demand to justify it, with "outcomes comparable to conventional surgery" as the safety warrant; it frames robotics and automation explicitly as a tool to address manpower shortages and lift productivity — not to replace staff — and keeps room to assess long-term impact through academic study.
Questioning Position
Dr Choo Pei Ling pushed the question from "do robots help?" to "how do we quantify the impact?": asking for data on clinical outcomes, patient safety and staff workload, and pressing on the long-term effect of robotics on nursing and allied-health manpower, and whether indicators on job redesign and productivity would be tracked.
"With rising patient numbers and workload, appropriate usage of such technology can help mitigate the manpower shortages in the healthcare sector, including allied health and supportive roles over time."
Original transcript excerpt
Dr Choo Pei Ling asked the Minister for Health how many public hospitals deploy surgical robots and non-clinical service robots, the measured impact on clinical outcomes, patient safety, staff workload and productivity, the long-term impact of robotics and automation on healthcare manpower, and whether indicators on job redesign and productivity would be tracked and published. Minister Ong Ye Kung replied that hospitals such as NUH, SGH and TTSH have deployed robotic-assisted surgical systems for minimally invasive soft-tissue surgeries, with outcomes so far comparable to conventional approaches; robotics and automation can improve efficiency, ease workload and help mitigate manpower shortages including in allied-health and support roles, with a detailed academic study of the impact possible at an appropriate juncture.
15 Parliament Mild scrutiny

Probe into Social Media Posts that Targeted Singapore's Indian Community and Review of National Framework to Counter Such External Influences

PAP MP Darryl David and Nominated MP Dr Neo Kok Beng put oral questions to the Coordinating Minister for National Security and Minister for Home Affairs about the 14 online social-media posts that targeted Singapore's Indian community and undermined its multiculturalism: whether investigations showed the posts to be a...

Policy Signal: Singapore is formally folding "AI-amplified foreign information manipulation" into its national-security governance: it affirms that the existing legal toolbox (OCHA, FICA, the Maintenance of Racial Harmony Act, POFMA) is enough to act decisively and will keep being reviewed, while shifting emphasis upstream to population-wide information resilience — signalling a move from "block after the fact" to "prevent upstream plus inoculate the public" in countering AI-generated falsehoods.
Open digest, stances, and transcript

PAP MP Darryl David and Nominated MP Dr Neo Kok Beng put oral questions to the Coordinating Minister for National Security and Minister for Home Affairs about the 14 online social-media posts that targeted Singapore's Indian community and undermined its multiculturalism: whether investigations showed the posts to be a coordinated effort by any agency or organisation and what action would be taken, and whether the national framework and tools against such external influence would be reviewed and how residents could be equipped to discern it. Minister of State for Home Affairs Goh Pei Ming replied that there is no evidence this was a coordinated campaign by any particular government or organisation; the content likely originated from a China-based platform and was subsequently carried elsewhere. The posts sought to incite ill-will against the Indian community and undermine Singapore's model of multiculturalism, and were assessed to constitute an offence under section 298A(a) of the Penal Code; the Government issued Disabling Directions under the Online Criminal Harms Act (OCHA) to block Singapore users' access to the 14 posts. He noted that AI-enabled and inauthentic content seeping into Singapore's infospace has increased in recent years — the use of AI makes such posts easier to create — and that the Government tracks every case carefully, including investigating possible state actors, and wields legislative levers such as FICA, the Maintenance of Racial Harmony Act, POFMA and OCHA to act proactively and upstream (FICA online directions were first used in July 2024 and have been generally effective). Beyond legislation, the Government builds a discerning, resilient population through National Education and Total Defence, the SG101 website, the National Library Board's S.U.R.E programme and a 2025 MHA campaign on deepfake videos and AI-generated content — framed as the most effective defence against attempts to divide society.

Key Points
  • • No evidence the 14 posts targeting the Indian community were coordinated by any particular government or organisation; the content likely originated from a China-based platform and was carried onward
  • • The posts were assessed to breach section 298A(a) of the Penal Code; the Government issued Disabling Directions under OCHA to block Singapore users' access
  • • AI-enabled, inauthentic content seeping into the local infospace has risen in recent years, with AI making such posts easier to create
  • • The Government holds legislative levers including FICA, the Maintenance of Racial Harmony Act, POFMA and OCHA; FICA online directions were first used in July 2024 and have been generally effective
Government Position
The Government takes a three-pronged approach to AI-amplified foreign interference and divisive content — decisive enforcement, proactive defence and population-wide resilience: it blocks content decisively using existing levers such as OCHA and FICA while stressing that laws must stay fit for purpose, and treats a discerning, resilient public as the most fundamental line of defence, "inoculating" citizens through education and outreach.
Questioning Position
The questioning MPs (David, Neo Kok Beng) pressed further: does the Government track possible coordinated cases that are not made public, are such cases rising, and how would it respond if state actors were involved; and they challenged that the current FICA/POFMA/OCHA framework is largely "reactive", asking the Government to spell out its "preventive" measures and how their effectiveness is measured.
"We have noticed an increase in the number of such posts, especially given the use of AI enabling the creation of such posts ... we do track very carefully every single case, including investigating whether there are possibly state actors behind the posts."
Original transcript excerpt
Darryl David and Dr Neo Kok Beng asked the Coordinating Minister for National Security and Minister for Home Affairs whether the 14 online posts targeting the Indian community were a coordinated effort, what action would follow, whether the national framework against external influence would be reviewed, and how residents could be equipped to discern such influence. Minister of State Goh Pei Ming replied that there is no evidence of a coordinated campaign by any government or organisation; the content likely originated from a China-based platform. The posts were assessed to breach section 298A(a) of the Penal Code, and Disabling Directions were issued under OCHA to block the 14 posts. He noted a rise in AI-enabled, inauthentic content in Singapore's infospace, said the Government tracks every case and investigates possible state actors, and set out legislative levers (FICA, the Maintenance of Racial Harmony Act, POFMA, OCHA) alongside public-education efforts — National Education and Total Defence, SG101, the NLB's S.U.R.E programme and a 2025 MHA campaign on deepfakes and AI-generated content — arguing that a discerning public is the most effective defence.
15 Parliament Information

Recorded Incidences of AI-Induced Psychosis in Past Three Years and Measures to Address AI-Related Mental Health Issues

Workers' Party MP He Ting Ru filed a written question to the Coordinating Minister for Social Policies and Minister for Health: is the Ministry aware of increasing recorded incidences of AI-induced psychosis; if so, how many cases were recorded in each of the past three years; and how is the Ministry working with relev...

Policy Signal: Singapore's health authorities have not yet folded "AI-induced psychosis" into formal statistics or a diagnostic framework, taking a "monitor first, regulate later" posture that frames AI mental-health risk as an emerging issue to watch rather than an established public-health problem.
Open digest, stances, and transcript

Workers' Party MP He Ting Ru filed a written question to the Coordinating Minister for Social Policies and Minister for Health: is the Ministry aware of increasing recorded incidences of AI-induced psychosis; if so, how many cases were recorded in each of the past three years; and how is the Ministry working with relevant partners to better study and tackle the issue. Minister for Health Ong Ye Kung replied that there are international reports of psychological disturbances potentially related to intensive AI use, but this is not an established clinical diagnosis. Other than a few anecdotal cases, no clear upward trend has been observed locally — though the Ministry is monitoring the matter closely because the potential health risk posed by AI and digital media is of real concern. The exchange puts AI-related mental-health risk on the parliamentary record for the first time: the opposition presses the Government to recognise and quantify an emerging risk, while the Government responds cautiously — "not a clinical diagnosis, no clear local trend" — without dismissing the risk or ruling out continued monitoring.

Key Points
  • • "AI-induced psychosis" is not yet an established clinical diagnosis
  • • Apart from a few anecdotal cases, no clear upward trend has been seen locally
  • • MOH treats the potential health risk of AI and digital media as a "real concern" and is monitoring closely
Government Position
MOH takes a cautious watch-and-monitor stance on "AI-induced psychosis": it does not recognise it as an established clinical diagnosis and stresses there is no clear local upward trend, while acknowledging that the mental-health risks of AI and digital media are real and will be monitored closely.
Questioning Position
Workers' Party MP He Ting Ru presses the Government to recognise and quantify AI-related mental-health risk, asking it to disclose case numbers over the past three years and to set out its cross-partner research and response mechanisms.
"There are international reports about psychological disturbances potentially related to intensive AI use, but this is not an established clinical diagnosis ... we are monitoring this closely because the potential health risk posed by AI and digital media is of real concern."
Original transcript excerpt
Ms He Ting Ru asked the Coordinating Minister for Social Policies and Minister for Health three related questions: whether the Ministry is aware of increasing recorded incidences of artificial intelligence (AI)-induced psychosis; if so, the number of cases in each of the past three years; and how the Ministry is working with relevant partners to better study and tackle this issue. Mr Ong Ye Kung replied that there are international reports about psychological disturbances potentially related to intensive AI use, but that this is not an established clinical diagnosis. Other than a few anecdotal cases, no clear trends that such cases are on the rise have been observed locally. Nonetheless, the Minister said the Ministry is monitoring the matter closely, because the potential health risk posed by AI and digital media is of real concern.
15 Parliament Information

Energy Consumption Projections of AI Park at one-north and Energy Efficiency Measures

Workers' Party MP Dennis Tan Lip Fong filed a written question to the Ministry of Digital Development and Information on the resource footprint of the new artificial intelligence (AI) park at one-north: the projected annual electricity and water consumption at full capacity; how the Ministry will measure software-level...

Policy Signal: Singapore leans toward curbing AI energy use through international industry standards, green-software guidance and the data-centre efficiency thresholds of the Digital Infrastructure Act — placing the regulatory centre of gravity at the infrastructure layer rather than the model layer, and stopping short of mandatory energy disclosures for individual large models.
Open digest, stances, and transcript

Workers' Party MP Dennis Tan Lip Fong filed a written question to the Ministry of Digital Development and Information on the resource footprint of the new artificial intelligence (AI) park at one-north: the projected annual electricity and water consumption at full capacity; how the Ministry will measure software-level energy efficiency for firms under the National AI Missions; and whether the Government will mandate energy-intensity disclosures for large-scale AI models to mitigate any rebound effect on national energy demand. Minister Josephine Teo replied that the one-north AI park is not a data-centre park but a hub for a growing community of AI developers and solution providers, with annual electricity and water consumption expected to be comparable to other technology-intensive industrial estates such as the Punggol Digital District. She stressed Singapore's commitment to advancing AI sustainably: the National AI R&D plan has named resource-efficient AI a research priority; green AI software is still a nascent field with no internationally recognised standard, so IMDA is working with the Green Software Foundation on the methodology for a new Software Carbon Intensity ISO standard and is promoting efficient compute use through the Green Software Trials and the newly launched Practical Green Software Guide for Enterprises; and on data centres, building on IMDA's Green DC roadmap, the Ministry will introduce baseline energy-efficiency standards through the Digital Infrastructure Act now being developed in consultation with industry.

Key Points
  • • The one-north AI park is positioned as a hub for AI developers and solution providers, not a data-centre park; its energy use is expected to be comparable to the Punggol Digital District
  • • The National AI R&D plan has named resource-efficient AI a research priority
  • • IMDA is working with the Green Software Foundation on a Software Carbon Intensity ISO standard and has launched a Practical Green Software Guide for Enterprises
  • • The Government will introduce baseline energy-efficiency standards for data centres through the Digital Infrastructure Act
Government Position
The Government holds that the one-north AI park's energy use is manageable (benchmarked against existing technology-intensive estates) and prefers to manage AI's energy footprint through resource-efficient AI research, international green-software standards and the data-centre efficiency thresholds of the Digital Infrastructure Act, rather than mandating energy-intensity disclosures for individual large models for now.
Questioning Position
Workers' Party MP Dennis Tan Lip Fong pushes for quantified disclosure: he asks for published full-capacity energy projections for the park, a method to measure software-level energy efficiency, and mandatory energy-intensity disclosures for large AI models to guard against a rebound effect on national energy demand from AI expansion.
"The planned Artificial Intelligence (AI) park at one-north is not a data centre park. It is designed to be a hub for a growing community of AI developers and solution providers."
Original transcript excerpt
Mr Dennis Tan Lip Fong asked the Minister for Digital Development and Information three related questions about the new artificial intelligence (AI) park at one-north: the projected annual electricity and water consumption at full capacity; how the Ministry would measure software-level energy efficiency for firms under the national AI Missions; and whether the Government would mandate energy-intensity disclosures for large-scale AI models to mitigate any rebound effect on national energy demand. Mrs Josephine Teo replied that the planned AI park is not a data centre park but is designed to be a hub for a growing community of AI developers and solution providers, so its annual electricity and water consumption is expected to be comparable to other technology-intensive industrial estates such as the Punggol Digital District. She added that Singapore is committed to advancing its AI capabilities sustainably: under the National AI Research and Development plan, resource-efficient AI has been identified as a research priority, which together with close monitoring of practices elsewhere will inform appropriate policy measures. On software, she noted that green or energy-efficient AI software is still a nascent field with no internationally recognised standard today; the Infocomm Media Development Authority (IMDA) is working closely with the Green Software Foundation on the methodology for the new Software Carbon Intensity ISO standard, and in the meantime promotes the efficient use of computing resources through initiatives such as the Green Software Trials and the recently launched Practical Green Software Guide for Enterprises. On data centres, she said steps had been taken to improve sustainability through IMDA's Green DC roadmap, and that the Ministry will introduce baseline energy-efficiency standards for data centres through the Digital Infrastructure Act, which is being developed in consultation with the industry.
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.

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

Click any period to filter the debate records from that phase.

⚡ 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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