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Is ChatGPT adequate for decision-making?

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The AI to Advance Well-being and Society Research Hub at the University of Hong Kong (HKU-AI WiSe), and HKU -Cambridge Clean Energy and Environment Research Platform, led by Prof. Victor OK Li and Dr. Jacqueline CK Lam, have been addressing societal and healthcare problems using AI and big data technologies, and advocating AI for Social Good. Large language models (LLMs), such as ChatGPT, are a type of artificial intelligence (AI) that can process vast amounts of text data to generate human-like responses to prompts. However, to support sound decision-makings, there is a need for a clear understanding of the decision-making processes and the driving factors. Unfortunately, AI is not yet fully explainable or interpretable, which can limit its usefulness in decision-makings. In addition, there are limitations to the accuracy and reliability of LLMs due to their dependence on the quality of the training data and their inability to understand the context of information. In this talk, we survey some of the existing work in explainability/interpretability of AI models, and study how they may be used to improve the interpretability and reliability of future LLMs to make them more useful in decision-making contexts.


Victor O.K. Li received SB, SM, EE and ScD degrees in Electrical Engineering and Computer Science from MIT . Prof. Li is Chair of Information Engineering and Cheng Yu-Tung Professor in Sustainable Development at the Department of Electrical & Electronic Engineering (EEE) at the University of Hong Kong (HKU). He is the Director of the HKU -Cambridge Clean Energy and Environment Research Platform, the HKU -Cambridge AI to Advance Well-being and Society Research Platform, and the HKU -Cambridge AI for Neuro-disease Research Platform, which are interdisciplinary collaborations with Cambridge University. From April to August 2019, and in June 2023, he is Visiting Professor at the Department of Computer Science and Technology at Cambridge University. He was the Head of EEE , Assoc. Dean (Research) of Engineering and Managing Director of Versitech Ltd., the technology transfer and commercial arm of HKU . He serves on the board of Sunevision Holdings Ltd., listed on the Hong Kong Stock Exchange. He co-founded and serves as Chairman of the Board of Fano Labs Ltd., an artificial intelligence (AI) company specializing in natural language processing and speech recognition. Previously, he was Professor of Electrical Engineering at the University of Southern California (USC), Los Angeles, California, USA , and Director of the USC Communication Sciences Institute. His research interests include big data, AI, optimization techniques, AI and Medicine, and interdisciplinary clean energy and environment studies. In Jan 2018, he was awarded a USD 6 .4M RGC Theme-based Research Project to develop deep learning techniques for personalized and smart air pollution monitoring and health management. Sought by government, industry, and academic organizations, he has lectured and consulted extensively internationally. He has received numerous awards, including the PRC Ministry of Education Changjiang Chair Professorship at Tsinghua University, the UK Royal Academy of Engineering Senior Visiting Fellowship in Communications, the Croucher Foundation Senior Research Fellowship, and the Order of the Bronze Bauhinia Star, Government of the HKSAR . He is a Fellow of the Hong Kong Academy of Engineering Sciences, the IEEE , the IAE , and the HKIE .

Jacqueline C.K. Lam is Associate Professor of the Department of Electrical and Electronic Engineering, the University of Hong Kong, also Co-Director of the HKU AI to Advance Well-being and Society Research Hub, which embeds the HKU -Cambridge Clean Energy and Environment Research Platform, the HKU -Cambridge AI to Advance Well-being and Society Research Platform, and the HKU -Cambridge AI for Neuro-disease Research Platform. She is the Visiting Senior Research Fellow and Associate Researcher in Energy Policy Research Group, Judge Business School, the University of Cambridge. She was a visiting scholar at CEEPR , MIT (2019), EECS , MIT (2021), and at the Department of Computer Science and Technology, the University of Cambridge (2022, 2023). Her recent focus is on AI-driven neurodegenerative biomarker identification and drug repurposing, as well as personalized air pollution monitoring and health management in relation to asthma disease. Her work has been published in Nature Scientific Reports, Nature Humanities and Social Sciences Communications, Nature Molecular Psychiatry, Alzheimer’s and Dementia, IEEE Transactions, Environment International, Applied Energy, Environmental Science and Policy, and Energy Policy. Jacqueline has received multiple research grants awarded by the Research Grants Council, HKSAR Government, including a TRS grant on AI and big data. The funded amount totaled USD 7 .8M in PI or Co-PI capacity. She is a Co-PI and Co-leader of two Healthy Longevity Catalyst Awards from the National Academy of Medicine, United States, in 2021 and 2022, respectively.

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