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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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DTSTART:20240101T000000
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DTSTART;TZID=Asia/Hong_Kong:20251216T141500
DTEND;TZID=Asia/Hong_Kong:20251216T151500
DTSTAMP:20260511T065230
CREATED:20251213T025301Z
LAST-MODIFIED:20251213T025434Z
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SUMMARY:Seminar on Developing Value-driven AI: Building Large Language Models with Social Good Principles
DESCRIPTION:Abstract\nThis talk highlights the critical need and urgency for academic communities to advance artificial intelligence (AI) with a focus on value-driven and socially-beneficial LLMs. The presentation is structured in two parts. First\, I will briefly outline my academic and research background\, our vision for AI for Social Good\, and key contributions from over a decade of work in this field. The second part will focus on the development of a large language model (LLM) system embedded with social good principles. As LLMs\, like ChatGPT\, become integral to daily life\, understanding and addressing their ethical and social implications is paramount. This talk explores how implicit values in AI systems can be identified and reshaped using techniques such as fine-tuning and data generation to align with inclusive\, responsible\, and ethical standards. By embedding societal values into LLM design\, this work aims to foster AI systems that promote fairness\, accountability\, and positive societal impact. The significance of this talk lies in its potential to inspire HKU to prioritize ethical AI development\, shaping a future where AI serves as an accelerator for social good. \nSpeaker\nProf. Jacqueline C.K. LAM\nAssociate Professor\,\nDepartment of Electrical and Electronic Engineering (EEE)\,\nThe University of Hong Kong (HKU) \nSpeaker’s Biography\nProf. Jacqueline C.K. LAM is an Associate Professor in the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU)\, where she co-leads the HKU-AI to Advance Well-being and Society Research Lab. With a PhD in Environmental Management from HKU’s Faculty of Architecture (2008)\, she earned a competitive university-wide Research Assistant Professorship based in EEE\, HKU in 2011\, enabling her to pursue interdisciplinary research integrating data science\, social sciences\, neuroscience\, and ethics. Prof. Lam champions AI for Social Good (AIfSG)\, her research places priority on addressing societal challenges\, particularly in air pollution\, asthma and Alzheimer’s disease\, emphasizing fairness\, explainability\, through big data and AIfSG technologies. \nProf. Lam co-leads projects that secured four consecutive U.S. National Academy of Medicine Healthy Longevity Catalyst Awards (2021–2024) with Prof. Victor O.K. Li\, advancing AI-driven early diagnosis and drug discovery for Alzheimer’s disease. She co-leads in Co-PI capacity a 50M HKD RGC Theme-based Research Grant for smart air pollution monitoring and health management\, and a 3.25M HKD RGC-SPPR grant in 2011 for cross-border nuclear safety governance\, reflecting her dedication to impactful\, collaborative socially-beneficial research. \nShe cherishes her international collaborations\, including roles as Visiting Senior Research Fellow at the University of Cambridge’s Judge Business School (since 2013)\, Visiting Fellow at Hughes Hall\, and Visiting Academic at the Department of Computer Science and Technology at Cambridge. Prof. Lam a Visiting Scholar at MIT’s Centre for Energy and Environmental Policy Research and MIT EECS in 2019. In collaboration with Prof. Jon Crowcroft\, FRS. At Cambridge\, they have co-organized five AIfSG symposiums since 2018\, fostering global academic dialogue in value-driven AI research. \nIn teaching\, Prof. Lam is committed to mentoring PhD students at HKU\, nurturing innovative thinkers in AIfSG. She co-established the pioneering HKU-Cambridge PhD Pathway\, enabling engineering students to pursue an MPhil in Technology Policy at Cambridge Judge Business School\, and pioneered interdisciplinary courses on Climate Change and Sustainability (2013–2020) and Deep Learning and Applications (2019-2025). As Area Editor of the Cambridge University Press journal Data and Policy\, she contributes to global discussions on value-driven data policy. Her publications span multiple disciplines\, including IEEE Transactions\, Nature Scientific Reports\, Nature Molecular Psychiatry\, Journal of Alzheimer’s Disease\, Environment International\, Applied Energy\, Energy Policy\, and Data and Policy. Co-directing the HKU-AI WiSe and three HKU-Cambridge AI Research Platforms\, Prof. Lam humbly seeks to advance AIfSG. \nAll are welcome!
URL:https://ece.hku.hk/events/20251216-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/12/1280-4.jpg
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