Filtered by: Department of Information Systems & Analytics
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.
On The Business Times' Thrive, Associate Professor Sharon Tan, contributed insights to an article examining whether a tech degree remains valuable in an AI-driven economy. She highlighted that strong computing fundamentals remain essential, even – and especially – in an age of AI. While AI can automate routine tasks, it cannot replace the human judgement, creativity, and critical thinking needed to design reliable, responsible, and impactful systems. Graduates who pair deep technical grounding with the ability to work confidently and thoughtfully with AI will continue to stand out in a fast-evolving industry.
