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国大今年新设立“杰出研究生导师奖”，首届得主是计算机学院计算机科学系的阿比克·莱卓胡里（Abhik Roychoudhury） 教授。他一直希望给予学生发掘新研究思路的智力空间，引导他们、同他们讨论，并鼓励他们拓展想象力。莱卓胡里的桃李们，如今有的加入顶尖学府，有的是成功公司的创始人。他说：“奖项是对这一教学理念的积极鼓励，同时也是对我那些学生们杰出优秀的认可。”
Green computing and artificial intelligence (AI) safety will be among the focus areas of a new AI research and innovation centre, which is expected to be set up at the NUS School of Computing by 2025.
The proposed centre, a collaboration between IBM and the National University of Singapore (NUS), aims to accelerate scientific research here by tapping the American tech giant’s full-stack AI infrastructure.
Despite the global rise in ransomware attacks, “the increase is not at an alarming rate”, Associate Professor Liang Zhenkai from the National University of Singapore’s department of computer science told CNA. “Ransomware has been around for many years, with a big surge during the COVID-19 pandemic due to the large-scale work from home arrangement,” he explained. He urged firms to remain vigilant, including by having good data backup and recovery as well as cyber hygiene processes. These include not downloading and running programmes from unknown sources, and not using accounts with administrator privileges for day-to-day tasks.
In September this year, the National University of Singapore’s (NUS) School of Computing and the Lee Kuan Yew School of Public Policy will jointly launch the NUS Global CEO Programme. Aimed at entrepreneurs in Asia, the programme focuses on digital transformation and a sustainable future, based in Singapore with a global perspective. The course spans two-and-a-half years. See Press Release
"Computer science is not just about AI," said Kan Min Yen, an associate professor of computer science at the National University of Singapore.
"Proper development and use of AI still require fundamental knowledge of software engineering, data management, and security, all tenets of a holistic computing education," he added.
While some may think that tools like GitHub Copilot will render them obsolete, Kan said such concerns may be overblown.
Software professionals, he said, could still add value by understanding the limitations of AI tools and how to troubleshoot them.
"You would go to a mechanic to fix a car and to someone who knows the math and training methods for large language modules to fix and diagnose problems with LLMs, such as ChatGPT," Kan explained.
Dr Sanka Rasnayaka, a lecturer from the department of computer science at the National University of Singapore’s School of Computing, cautioned against giving biometric data to private entities.
He noted that governments are held to higher standards in safeguarding biometric data and maintaining transparency about its use.
Dr Rasnayaka, who researches biometrics and artificial intelligence, said biometrics can be misused for identity theft, surveillance and discrimination, as it reveals information such as a person’s age, race, gender and even certain medical conditions.
In a data leak or breach involving personal biometric data, the effects might be irreversible if bad actors get their hands on the information.
“Criminals could use stolen biometric data to impersonate victims on platforms that rely on biometric identity, such as banks and government services,” he said. “Biometric data cannot be changed, making any breach potentially lifelong.”
The “Emerging Rockstar” segment in IEEE Pervasive Computing highlights rising stars in the field of pervasive computing through captivating interviews. In the series’ inaugural article, Dr. Lakmal Meegahapola, a member of IEEE Pervasive Computing's editorial board, conducts an interview with Dr. Jingxian Wang, an Assistant Professor at the National University of Singapore.
Professor Jungpil Hahn works for the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). The Professor is an advocate for using AI responsibly.
“AI developers and business leaders should consider all relevant ethical considerations not only in order to be compliant with regulations but also for engendering trust from its consumers and users.”
“The primary challenge in applying AI ethical principles is that much of the discourse surrounding AI ethics and governance is too broad in the sense that the conversation surrounding it is at a very high level,” Professor Hahn said.
“How to actually operationalise and put it into action is still quite underdeveloped, and vague.”
The rapid uptake and widespread use of generative AI systems has put a spotlight on AI ethics and governance. The ‘lack of clear and explicit’ standards led Professor Hahn and colleagues to study the evolution of AI Governance.
“The “black box” nature of AI models, which makes it impossible to fully (exhaustively) know how it will perform/behave.” Professor Hahn added.
Professor Anthony Tung explores the topic of deepfake scams, their prevalence and how ordinary people can identify and prevent themselves from being deceived by them.
Associate Professor Terence Sim of the National University of Singapore’s Centre for Trusted Internet and Community said AI-generated porn is “certainly a very pressing issue”.
The National University of Singapore School of Computing (NUS Computing) has unveiled a new Computing Gallery, the first of its kind in Southeast Asia, which documents the nation’s computing education journey at Singapore’s flagship university, among other aspects of Information Technology (IT).
“It’s a difficult balancing act,” says Ooi Wei Tsang, an associate professor in the School of Computing at the National University of Singapore. “Given that large language models are evolving rapidly, we are still learning how to do this.”
Professor Anthony Tung discusses the impact of Open AI Sora on various industries on Hello Singapore.
Launched on March 25, the NUS AI Institute (NAII) will conduct research on how to address the ethical concerns and risks associated with AI and to apply AI across various domains such as education, healthcare, finance and sustainability.
The Straits Times, 25 March 2024
Should we still learn to code in the age of AI? Professor Hahn Jungpil says that AI has its limitations while computer education is about a way of thinking that goes beyond code.
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