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Associate Professor Terence Sim from NUS Computing was featured on Money FM 89.3’s The Big Story (aired 2 July 2025), where he discussed the growing threat of deepfakes and the urgent need to bridge the gap between public confidence and actual ability to detect such content. Citing findings from a recent national cybersecurity survey, Dr Sim noted that while nearly 80% of Singaporeans believed they could identify deepfakes, only 25% were able to do so correctly, highlighting a dangerous overconfidence that could increase vulnerability to scams.
He explained how advancements in generative AI have made deepfakes more convincing and harder to detect using traditional cues like lip-sync mismatches. Emphasising the importance of cyber hygiene, Dr Sim likened deepfake preparedness to pandemic readiness, where education, personal vigilance, and coordinated action are essential. He also shared how NUS Computing has launched community anti-scam workshops to raise awareness and equip the public with practical tools to spot fakes. Dr Sim called for a whole-of-society approach, combining public education, stronger regulation, and platform-level safeguards to counter the evolving landscape of AI-driven threats.
Associate Professor Ben Leong from NUS Computing was featured in GovInsider (4 June 2025), where he shared how the university is using AI to enhance students’ practical, human-centred skills through roleplaying. He introduced ScholAIstic, a GenAI-powered tool developed by the AI Centre for Educational Technologies (AICET), which enables students in fields such as law, nursing, and social work to practise real-world scenarios with AI-generated personas.
By using large language models, ScholAIstic simulates courtroom exchanges or client interactions, providing instant feedback and helping students develop critical workplace skills. Prof Leong stressed the importance of a pedagogy-first approach, applying technology only after understanding instructional needs. The initiative, supported by AI Singapore, aims to make experiential learning scalable and accessible.
Professor Hahn Jungpil from NUS Computing was featured in an interview on ZDnet Korea discussing the global AI race, which he described as a “war of data and capital”. He noted that the United States and China are leading due to their access to vast data and strong investments in computing and AI models.
He highlighted the rise of agentic AI as a key driver of corporate investment but stressed the need for ethical development. Drawing from Singapore’s approach, he advocated for flexible, forward-looking regulations and emphasised the importance of cross-sector communication to balance innovation with governance.
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