Ethical, inclusive rules needed to humanise AI development, says Lam Thye
PETALING JAYA: A governance framework must be drawn up for artificial intelligence (AI) that embeds ethical principles in every stage of development and deployment, says Tan Sri Lee Lam Thye.
The Alliance for a Safe Community chairman said that with AI rapidly shaping many facets of life, the world needs to ensure that this powerful technology is harnessed by a human-centric approach.
"To humanise AI is to embed ethical considerations, transparency and empathy into the heart of its design.
"We must remember that AI is not just a tool, as it reflects the values of those who create it.
"Therefore, its development should prioritise fairness, accountability and inclusivity," he said in a statement on Tuesday (June 10).
Lee said AI holds the potential to solve some of humanity's most pressing challenges, from healthcare to the environment, but it must always serve the greater good.
Lee said governments, industries and communities must work together to create this governance framework that fosters innovation while protecting privacy and rights.
"There must be checks and balances to ensure that AI serves humanity without compromising safety, security, or fundamental rights," he added.
He suggested AI accountability laws, transparency, data protection and privacy, risk assessment and certification, and public oversight bodies to be included in this framework.
"Technology alone cannot determine what is right or just," he said.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Malay Mail
14 hours ago
- Malay Mail
PolyU develops novel multi-modal agent to facilitate long video understanding by AI, accelerating development of generative AI-assisted video analysis
A research team led by Prof. Changwen Chen, Interim Dean of the PolyU Faculty of Computer and Mathematical Sciences and Chair Professor of Visual Computing, has developed a novel video-language agent VideoMind that allows AI models to perform long video reasoning and question-answering tasks by emulating humans' way of thinking. The VideoMind framework incorporates an innovative Chain-of-LoRA strategy to reduce the demand for computational resources and power, advancing the application of generative AI in video analysis. HONG KONG SAR - Media OutReach Newswire - 10 June 2025 - While Artificial Intelligence (AI) technology is evolving rapidly, AI models still struggle with understanding long videos. A research team from The Hong Kong Polytechnic University (PolyU) has developed a novel video-language agent, VideoMind, that enables AI models to perform long video reasoning and question-answering tasks by emulating humans' way of thinking. The VideoMind framework incorporates an innovative Chain-of-Low-Rank Adaptation (LoRA) strategy to reduce the demand for computational resources and power, advancing the application of generative AI in video analysis. The findings have been submitted to the world-leading AI especially those longer than 15 minutes, carry information that unfolds over time, such as the sequence of events, causality, coherence and scene transitions. To understand the video content, AI models therefore need not only to identify the objects present, but also take into account how they change throughout the video. As visuals in videos occupy a large number of tokens, video understanding requires vast amounts of computing capacity and memory, making it difficult for AI models to process long Changwen CHEN, Interim Dean of the PolyU Faculty of Computer and Mathematical Sciences and Chair Professor of Visual Computing, and his team have achieved a breakthrough in research on long video reasoning by AI. In designing VideoMind, they made reference to a human-like process of video understanding, and introduced a role-based workflow. The four roles included in the framework are: the Planner, to coordinate all other roles for each query; the Grounder, to localise and retrieve relevant moments; the Verifier, to validate the information accuracy of the retrieved moments and select the most reliable one; and the Answerer, to generate the query-aware answer. This progressive approach to video understanding helps address the challenge of temporal-grounded reasoning that most AI models core innovation of the VideoMind framework lies in its adoption of a Chain-of-LoRA strategy. LoRA is a finetuning technique emerged in recent years. It adapts AI models for specific uses without performing full-parameter retraining. The innovative chain-of-LoRA strategy pioneered by the team involves applying four lightweight LoRA adapters in a unified model, each of which is designed for calling a specific role. With this strategy, the model can dynamically activate role-specific LoRA adapters during inference via self-calling to seamlessly switch among these roles, eliminating the need and cost of deploying multiple models while enhancing the efficiency and flexibility of the single is open source on GitHub and Huggingface. Details of the experiments conducted to evaluate its effectiveness in temporal-grounded video understanding across 14 diverse benchmarks are also available. Comparing VideoMind with some state-of-the-art AI models, including GPT-4o and Gemini 1.5 Pro, the researchers found that the grounding accuracy of VideoMind outperformed all competitors in challenging tasks involving videos with an average duration of 27 minutes. Notably, the team included two versions of VideoMind in the experiments: one with a smaller, 2 billion (2B) parameter model, and another with a bigger, 7 billion (7B) parameter model. The results showed that, even at the 2B size, VideoMind still yielded performance comparable with many of the other 7B size Chen said, "Humans switch among different thinking modes when understanding videos: breaking down tasks, identifying relevant moments, revisiting these to confirm details and synthesising their observations into coherent answers. The process is very efficient with the human brain using only about 25 watts of power, which is about a million times lower than that of a supercomputer with equivalent computing power. Inspired by this, we designed the role-based workflow that allows AI to understand videos like human, while leveraging the chain-of-LoRA strategy to minimise the need for computing power and memory in this process."AI is at the core of global technological development. The advancement of AI models is however constrained by insufficient computing power and excessive power consumption. Built upon a unified, open-source model Qwen2-VL and augmented with additional optimisation tools, the VideoMind framework has lowered the technological cost and the threshold for deployment, offering a feasible solution to the bottleneck of reducing power consumption in AI Chen added, "VideoMind not only overcomes the performance limitations of AI models in video processing, but also serves as a modular, scalable and interpretable multimodal reasoning framework. We envision that it will expand the application of generative AI to various areas, such as intelligent surveillance, sports and entertainment video analysis, video search engines and more."Hashtag: #PolyU #AI #LLMs #VideoAnalysis #IntelligentSurveillance #VideoSearch The issuer is solely responsible for the content of this announcement.
The Sun
14 hours ago
- The Sun
Digital Ministry outlines three key initiatives to strengthen Malaysia's AI ecosystem
JOHOR BAHRU: The Ministry of Digital has outlined three key initiatives aimed at strengthening Malaysia's artificial intelligence (AI) ecosystem, in a move to position the country as a regional hub for AI innovation by 2030. Deputy Digital Minister Datuk Wilson Ugak Kumbong, said these initiatives include the National Artificial Intelligence (AI) Roadmap (2016–2030), AI Code of Ethics, and the establishment of a dedicated AI Centre of Excellence. Speaking at the Artificial Intelligence and Robotics Festival 2025 (AirFest 2025) at Universiti Teknologi Malaysia (UTM), Ugak said the AI Roadmap, originally developed under the Ministry of Science, Technology and Innovation, serves as a strategic framework to guide AI adoption and innovation in key economic sectors. 'This roadmap outlines comprehensive policies and strategies to drive economic growth and strengthen national competitiveness. Our goal is to position Malaysia as a leading AI hub in Southeast Asia by 2030,' he said. He said that the AI Code of Ethics will serve as a critical guide to ensure responsible and ethical use of AI technologies, especially in sectors such as healthcare, transportation, agriculture, education, public services and SMEs. Meanwhile, he also said that the third initiative, AI Centre of Excellence, aims to accelerate AI integration nationwide. The centre will focus on refining implementation strategies to maximise the impact of AI on both the economy and society. This festival brings together researchers, industry leaders, and policymakers to explore AI's transformative potential through forums, exhibitions, competitions and training sessions.
The Sun
14 hours ago
- The Sun
Malaysia unveils three key initiatives to boost AI ecosystem
JOHOR BAHRU: The Ministry of Digital has outlined three key initiatives aimed at strengthening Malaysia's artificial intelligence (AI) ecosystem, in a move to position the country as a regional hub for AI innovation by 2030. Deputy Digital Minister Datuk Wilson Ugak Kumbong, said these initiatives include the National Artificial Intelligence (AI) Roadmap (2016–2030), AI Code of Ethics, and the establishment of a dedicated AI Centre of Excellence. Speaking at the Artificial Intelligence and Robotics Festival 2025 (AirFest 2025) at Universiti Teknologi Malaysia (UTM), Ugak said the AI Roadmap, originally developed under the Ministry of Science, Technology and Innovation, serves as a strategic framework to guide AI adoption and innovation in key economic sectors. 'This roadmap outlines comprehensive policies and strategies to drive economic growth and strengthen national competitiveness. Our goal is to position Malaysia as a leading AI hub in Southeast Asia by 2030,' he said. He said that the AI Code of Ethics will serve as a critical guide to ensure responsible and ethical use of AI technologies, especially in sectors such as healthcare, transportation, agriculture, education, public services and SMEs. Meanwhile, he also said that the third initiative, AI Centre of Excellence, aims to accelerate AI integration nationwide. The centre will focus on refining implementation strategies to maximise the impact of AI on both the economy and society. This festival brings together researchers, industry leaders, and policymakers to explore AI's transformative potential through forums, exhibitions, competitions and training sessions.
