Filtered by: Artificial Intelligence
NUS Computing has introduced new courses in AI-related areas, and is also looking into updating the syllabus of existing courses. This is in addition to seeing greater interest for programmes such as artificial intelligence, computing, computer engineering, as well as data science and analytics.
Professor Anthony Tung shares about Dark AI and Cybersecurity issues on 8world Click IT.
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.
"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.
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.
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”.
“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.”
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.
While AI offers exciting potential for creative content creation, Professor Hahn Jungpil warns of its double-edged nature. Deepfakes pose a growing threat for spreading misinformation. He proposes proactive behavioural analysis as a promising strategy to combat this, acknowledging the challenges of regulating open-source AI and the limitations of current safeguards.
Professor Hahn Jungpil highlighted a critical challenge in the realm of deepfake detection. He emphasised that malicious actors could potentially gain an upper hand due to the need for enhanced deepfake training data to advance detection technologies.
In the documentary, Associate Professor Terence Sim discusses the alarming ease with which deepfakes can be created and their astonishingly convincing nature.
Channel News Asia, 10 March 2024
CH 5 Talking Point, 6 March 2024
Associate Professor Bryan Low leads an accelerated Master’s programme in AI, providing early research exposure to Singaporean undergraduates. The programme emphasises energy-efficient AI and reliability, offering opportunities for students and researchers to address emerging challenges and opportunities in the field.
Channel News Asia, 9 March 2024
CH 5 News Tonight, 8 March 2024
Associate Professor Terence Sim analysed OpenAI's showcase videos, uncovering subtle clues that can help identify AI-generated content.
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