Filtered by: News Media
Provost's Chair Professor Hahn Jungpil from the Department of Information Systems and Analytics joined CNA938 The Big Question, to discuss two Singapore-made AI-generated films that have reignited debate over AI's role in creative work – and where the line sits between AI as a tool and AI as a crutch.
Prof Hahn warned that critical thinking is the skill most at risk of quietly fading: "It's so accessible, and it provides relatively good output right from the start. You have to dig deeper, challenge it, even fight with it, to get really good content out of it. A lot of people, especially students, stop short of doing that and just accept what they're given. That's the real danger – we stop exercising our own reasoning."
He also argued that augmentation and replacement aren't opposites but a matter of time: "Augmentation only stays augmentation if you deliberately keep a hand in what you're doing, and that's a very difficult thing to do day to day." Left unchecked, he said, this deskilling happens quietly – "AI attacks that aspect of skills development most critically, and invisibly. We don't realise it until the skill is gone." – with judgement itself eroding the less it's exercised.
On NUS' move to make AI coursework compulsory for all undergraduates, he said assessment needs to evolve in step, favouring oral reasoning tests over take-home essays that AI can easily produce – so students are evaluated on how they think, not just what they output.
Listen to the full segment: CNA938 Rewind - The Big Question (13 Aug): How much is too much when it comes to AI?
NUS Business Analytics Centre has received a S$1.5 million personal donation from Mr Xie Xin, President of Lark Technologies, the largest single gift in the centre's 13-year history, Lianhe Zaobao reported on 7 August.
S$1 million of the donation establishes a new scholarship for students in the Master of Science in Business Analytics (MSBA) programme, with up to two awards expected in its first year and plans to extend it further. The remaining S$500,000 sets up an AI fund at the centre to support trustworthy AI research, including work on building AI systems that are safer, more reliable and more accountable.
Associate Professor Terence Sim from the Department of Computer Science joined CNA938 #TalkBack segment on facial recognition technology in public transport, prompted by the closed trial now underway at Punggol Coast MRT Station.
Host Daniel Martin put the question to Prof Sim, whose research spans biometric authentication and facial recognition: can a system built to verify one face at a time handle a gantry at rush hour?
Prof Sim's answer centred on throughput. Similar systems already run in cities such as Beijing, Osaka and Moscow, but Singapore's population is more racially diverse than most, and that diversity exposes a known weak point. "It's been found that darker skin tones cause problems for the systems, elderly women tend to have difficulty, and of course children, because their facial structure changes rapidly," he said, adding that headgear, masks and even a fresh shave can throw off a match against someone's enrolled image.
Average daily MRT ridership hit 3.49 million trips in 2025, according to the latest LTA statistics, concentrated in evening bursts between 5pm and 7pm, a volume far beyond any office facial recognition deployment. Prof Sim outlined three ways such a system can fail: false positives, false negatives, and misidentification, where one enrolled commuter is charged for another's ride. Citing the best error rates he could find, he estimated roughly 10,500 people could be barred from the gate daily, and about 1,750 could be wrongly charged for someone else's trip.
His conclusion: lighting, crowding and privacy concerns mean facial recognition technology is unlikely to replace tapping outright.
Listen to the full segment: CNA938 Rewind - #TalkBack (6 Aug): Is facial recognition effective for public transport?
The Straits Times covered the launch of the Razer-NUS Joint AI Research Lab on 5 August, reporting on the lab's role in advancing AI models that support both in-game and real-life tasks.
The article detailed how research from the lab will feed into two Razer products. The first is AVA, a 3D holographic desk companion first shown at CES 2026, which uses camera and microphone sensors to manage schedules, offer reminders and assist with gaming. Razer's chief strategy officer Li-Meng Lee described the ambition as moving digital companions "to the next level" beyond earlier concepts like Tamagotchi. The second is Project Motoko, a wearable AI headset that scans a user's surroundings to provide contextual advice, positioning Razer against wearables from Meta and Google.
The piece reported that the lab, based at NUS, will house around 20 PhD and postdoctoral researchers with direct access to Razer's engineering team for real-world validation and product integration. Both parties will jointly fund operations and jointly own resulting intellectual property.
Associate Professor Ooi Wei Tsang, co-director of the lab, was quoted describing the collaboration as charting "the pathway towards next-generation intelligent systems that will shape the future of interactive gaming experiences."
A two-storey standalone building on the NUS campus now houses the Razer-NUS Joint AI Research Lab, marking Razer's first joint research lab with a university under a three-year partnership, per Lianhe Zaobao's 5 August report on the launch.
NUS Associate Professor Ooi Wei Tsang, co-director of the lab, told the paper the team comprises around 20 members, mostly from the NUS School of Computing, including three professors and a number of PhD students and researchers. He named the lab's near-term research priorities as reducing latency in human-machine interaction and improving machine memory to enable more personalised responses, with potential applications extending to fields such as autonomous driving.
NUS PhD student Yu Zhaochen, a member of the research team, pointed to a current limitation of AI gaming tools in the report: in-game content updates continuously, while an AI assistant's knowledge base does not always keep pace, which can make its guidance outdated.
Razer and NUS data cited in the piece projects the global gaming AI market growing from US$4.2 billion (approximately S$5.4 billion) in 2025 to US$66.8 billion by 2035, alongside a Microsoft survey finding that close to 80 per cent of gamers would accept at least one AI feature they believe would improve their gaming experience.
Never about making money in the first place" is how Razer's chief strategy officer Li-Meng Lee described the company's investment logic behind the new Razer-NUS Joint AI Research Lab, in the Business Times' 5 August piece framing the partnership through Razer's broader push to build a software and AI layer around its hardware business.
The Razer-NUS Joint AI Research Lab will draw on NUS' AI research capabilities and Razer's product expertise to explore what the article termed gaming artificial narrow intelligence (GANI), a category of AI models built for interactive digital environments. Applications cited included generating context-aware objectives and dialogue during gameplay, and adjusting difficulty in live matches to sustain engagement and fairness.
The lab houses 15 to 20 researchers from the NUS School of Computing, with Razer staff supporting projects on an ad hoc basis. Three research pillars were named: core model innovation, real-time content systems, and advanced personalisation.
NUS Associate Professor Ooi Wei Tsang, director of the research lab, was quoted on the division of contributions: "NUS brings the smarts, the talent, the pipeline to help build what we're trying to envision here. What Razer brings is real-world adoption of these use cases." The article confirmed intellectual property arising from the research will be jointly owned by Razer and NUS.
Market research firm InsightAce Analytic projects the value of AI in gaming will grow from US$4.2 billion in 2025 to US$66.8 billion by 2035, a figure cited in the piece.
Professor Anthony Tung from the Department of Computer Science was interviewed on CNA938 Rewind, where he spoke with host Daniel Martin about the CNA investigation uncovering AI-generated videos using Alibaba founder Jack Ma's likeness to spread falsehoods about Singapore.
Prof Tung noted that the capability isn't new, and what has changed is accessibility – these tools now run on an ordinary desktop, which puts them beyond the reach of platform-level safeguards. "It's not that difficult to do it on a local machine, your own desktop, nowadays," he said.
Prof Tung shared that his research group's focus has shifted accordingly. Rather than trying to stem the flood of AI-generated misinformation at the source, the team is working on what he called a "safety jacket" for end users. "This is a flood of misinformation. Our research is how to build a safety jacket for them; we're not trying to stop the flood anymore."
Professor Anthony Tung from the Department of Computer Science weighed in on a CNA investigation that uncovered over 300 AI-generated videos using Jack Ma's likeness to spread falsehoods about Singapore, amassing more than a million views combined. Prof Tung explained why viewers keep watching content they half-suspect is synthetic, and why "detection does not equal rejection".
CNA's investigation, "Loophole lets Singapore Pools app users place bets from overseas – despite rules against it," found that the Singapore Pools app can be accessed and used to place bets outside Singapore, despite rules confining betting to within the country.
CNA tested the app in the UK and Italy during the World Cup and placed bets successfully, and seven users described similar workarounds from countries including Thailand, Malaysia, Indonesia, Japan and China dating back to 2020, all via roaming data on Singapore telcos. The Gambling Regulatory Authority confirmed operators are required to restrict betting to users physically in Singapore, and Singapore Pools said it uses geofencing and residency checks, though it did not comment on the loophole itself.
Professor Chan Mun Choon, who directs the NUS-NCS Joint Laboratory for Cyber Security, explained the technical mechanism: mobile roaming can route traffic so an overseas user appears to be connecting from a Singapore IP address, even while physically elsewhere. He noted that telcos cannot always determine an internet traffic's true origin, which puts the onus on app owners to build in further safeguards, such as combining IP checks with GPS-based geolocation.
Entry-level jobs aren't scarce in Singapore – they're just not where most graduates want them. That's the core finding of The Straits Times' piece "The great graduate divide: Why the job hunt is a struggle for some fresh graduates", which uses Ministry of Manpower data to show vacancies are plentiful in public administration, education, and health and social services, but far tighter in the infocomm and financial sectors graduates tend to chase. The piece also looks at how universities and polytechnics are recalibrating for tighter, more AI-literate hiring expectations, with input from academics at NUS, NTU, SMU, SIT, SUTD and Temasek Polytechnic.
Associate Professor Sharon Tan (Vice Dean, Industry Relations) was quoted on the sector's AI shift. She said AI adoption will create a strong need for professionals who can responsibly design, build, evaluate and deploy these systems. She added that Singapore's continued investment in AI research, infrastructure and enterprise adoption is expected to sustain demand for computing talent over the longer term, even as hiring conditions stay more subdued than during the recent tech boom.
Anthropic made headlines last month when it called for a worldwide pause in frontier AI development, warning that AI systems may be approaching a point where they can autonomously improve themselves without human input.
Writing in Channel NewsAsia, NUS School of Computing's Professor Jungpil Hahn takes the proposal seriously — but asks the question the report leaves unanswered: a pause toward what, exactly? Without defined exit criteria, he argues, it amounts to little more than a deferral. The enforcement challenge is equally steep: unlike nuclear arms control, AI training runs are easy to conceal, and in the context of US-China strategic competition, coordinated compliance would be strategically irrational for either side.
Prof Hahn also raises a dimension the debate has largely missed. Every governance framework depends on human judgment to function — and that judgment is being quietly shaped right now by the AI tools already embedded in how policymakers research, how analysts reason and how the next generation of experts is trained. For Singapore and the ASEAN region, he argues, how we structure AI adoption today will determine whether we retain the institutional capacity to participate meaningfully in AI governance at all.
Professor Anthony Tung from the Department of Computer Science appeared on 狮城有约 (Hello Singapore) to analyse the wave of tech giant IPOs – from SpaceX's record-breaking public offering to the anticipated listings of OpenAI and Anthropic – and what they signal for investor and everyday AI users.
On SpaceX's extraordinary market reception, Prof Tung pointed to something more durable than hype: a long track record of delivering on technically ambitious promises. Rocket recovery technology, once widely dismissed as impractical, has become routine – and that execution credibility, he argued, is what gives investors real confidence. He also noted that SpaceX's integrated hardware-software model gives it a structural edge over pure software players, enabling rapid deployment of AI into physical devices and robotic systems.
As AI companies prepare to meet capital market expectations, Prof Tung pushed back on the assumption that monetisation pressure would trigger a price war. With open-source models and localised solutions already a significant part of the ecosystem, he argued that competition is more likely to play out on accuracy, safety, and functionality than on cost alone. On OpenAI's reported move towards advertising revenue, he observed this follows a well-worn path for internet businesses: free users may see more ads, while paying users gain a fuller, less interrupted experience.
A research project co-led by Professor Abhik Roychoudhury from the Department of Computer Science was featured in The Straits Times in a report on Singapore's national AI-for-Science (AI4S) programme.
The article highlighted the project's aim to ensure that the growing volume of AI-generated code is safe and reliable – developing AI tools to automatically detect bugs, verify that software behaves as intended, and help developers and security professionals audit critical systems. The project, AI for Program Reasoning, is co-led with Professor Christian Cadar from Imperial College London, with partners from SMU, MIT, and ETH Zürich.
Professor Anthony Tung from the Department of Computer Science was featured on CNA's Singapore Tonight live segment, speaking on the AI bubble emerging in manufacturing and the broader cost of deployment without accountability.
Prof Tung identified three patterns of waste in current AI deployment: near-identical foundation models competing within narrow benchmark margins; AI-for-science programmes built on survivorship bias; and AI assistants handed to individual employees for tasks that never aggregate into organisational value.
The root cause, he said, is the absence of AI Deployment Science – a discipline for evaluating return on investment before resources are committed. Without it, capital follows fashion.
"A company of 10,000 people asking the same question 10,000 times is not a learning organisation. It is a forgetting one."
He proposed AI Prudence as the remedy: before every deployment, ask where the value is, how it will be measured, and whether an existing capability could already do it better.
CNA, Singapore Tonight (26 May 2026)
Associate Professor Harold Soh from the Department of Computer Science was quoted in South China Morning Post on Singapore's push to become a global leader in physical AI – robots and autonomous systems designed to operate in real-world urban environments.
Prof Soh noted that Singapore's institutional strength, technical talent, and track record in deploying technology in complex urban settings give it a credible edge in this space. "Singapore is already a trusted international hub, with strong institutions, concentrated technical talent, and experience deploying technology in complex urban environments.
The article. published ahead of ATxSummit 2026, examines Singapore's ambitions to position itself as a living lab for physical AI – from cleaning and delivery robots at Punggol Digital District to longer-term deployment in healthcare, logistics, and manufacturing.
SCMP (22 May 2026) - "Robots at Singapore's AI Zone to Clean, Patrol and Deliver Goods"
In a Straits Times feature on Singapore's national AI strategy, Professor Jungpil Hahn, Provost's Chair Professor at NUS School of Computing highlighted a key concern amid the excitement over AI adoption: the potential for deskilling.
Referring to a study published in The Lancet Gastroenterology and Hepatology in August 2025, Prof Hahn observed that clinicians who frequently depended on AI to detect pre-cancerous lesions gradually lost their ability to identify these growths on their own. This issue goes beyond healthcare, highlighting how professionals in any field might, over time, diminish the very skills AI was designed to enhance.
He suggested setting aside intentional AI-free intervals. "Having explicit days or periods where you know you have to do the task without AI actually forces the institutions, companies or organisations to maintain that capability level," he explained. He also urged organisations to monitor employees' abilities before and after adopting AI – not to restrict the technology, but to make sure human judgment stays sharp.
According to Prof Hahn, the real issue isn’t whether to adopt AI, but how to do so without sacrificing what no algorithm can ever replace.
Professor Anthony Tung from the Department of Computer Science was featured on Channel 8 News' Focus programme, providing expert analysis on the rise of AI-generated misinformation targeting Singapore.
Prof Tung explained how deepfake videos can now be produced quickly and cheaply through an automated pipeline – from script generation using language models, to voice synthesis, video creation, and editing. He also discussed the challenges platforms face in detecting and moderating such content.
CNA spoke to experts on the growing risks of telco service disruptions following a series of Singtel outages last week, with Professor Anthony Tung from the Department of Computer Science weighing in on what operators can do better, and why the stakes extend well beyond dropped calls.
Prof Tung called for stronger real-time monitoring and earlier detection systems, including AI tools where appropriate.
"Operators need earlier warning signs. Better real-time monitoring and anomaly detection, including AI tools where useful, can help spot unusual behaviour before it becomes a larger disruption," he said.
On the wider impact of outages, Prof Tung was direct. Many people now rely on mobile networks as their primary means of accessing the internet – for payments, transport, work, and everyday services. A disruption, he noted, can quickly render much of daily life inaccessible, even if the broader internet remains technically functional.
"That is why an outage can quickly disrupt daily life and business activities. It is also a reminder that important services and organisations should not rely on a single access channel, but should have fallback options in place."
His broader point was structural: telcos should be treated as a core part of national resilience, not just from a cybersecurity standpoint, but operationally. As high-concentration infrastructure serving consumers, enterprises, and critical services simultaneously, the risks and consequences of failure are, by nature, highly concentrated.
Associate Professor Ooi Wei Tsang from the Department of Computer Science was featured in a report by The Business Times on the rapid uptake of new open-source AI agent OpenClaw and the risks it raises for enterprise use.
The article looks at how tools like OpenClaw can carry out multi-step tasks with minimal human input, allowing users to automate workflows quickly. However, this ease of use also means such tools may be deployed without proper oversight or safeguards.
A/Prof Ooi cautioned that using these systems without appropriate controls can expose organisations to significant risks.
He likened it to “hiring an intern who blindly obeys instructions, while still giving them deep access to enterprise system, and allowing external parties to send instructions directly.”
A/Prof Ooi added that large language models can produce incorrect or misleading instructions, which may lead to unintended or harmful actions when executed by autonomous systems.
The report highlights growing concerns around “shadow AI”, where such tools are used outside formal IT governance, and the need for stronger safeguards including validation, human oversight and secure system design.
The Edge Singapore spoke to business leaders, investors, and academics on Singapore's multibillion-dollar push to harness AI – from national policy and workforce reskilling to what it means for local companies and startups.
Associate Professor Ben Leong from the Department of Computer Science offered a grounded take on where Singapore stands in the global AI race. Rather than competing head-on with the United States – the world's dominant technology powerhouse for the past two decades – he argued that Singapore's edge lies in finding the right niches.
"That's not to say that we shouldn't care. We don't have a choice. It is not possible for us to be Number One or Number Two in AI. Despite this situation, what can we do? Give up? That cannot be right. So we try to find niches that make sense for us."
On the productivity gains AI has delivered so far, Assoc Prof Leong was measured. While AI has meaningfully lifted output, the benefits are not uniform, and the pace of change may be slower than the hype suggests.
"The reality is that AI has somewhat increased productivity, about 20% to 30%. It's not massive, but there are some productivity gains. But if you ask me, will AI change everything? Not really or perhaps not so fast."
His sharpest observation, though, was about people rather than technology. Ultimately, he noted, how quickly a company adopts AI comes down to management decisions, and the willingness to change behaviour.
"Adoption of AI is not a tech problem. It's a human problem where you are trying to change behaviour."