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SUMMARY:Is ChatGPT adequate for decision-making? - Victor O.K. Li\, Univer
 sity of Hong Kong
DTSTART:20230627T120000Z
DTEND:20230627T130000Z
UID:TALK202294@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:The AI to Advance Well-being and Society Research Hub at the U
 niversity of Hong Kong (HKU-AI WiSe)\, and HKU-Cambridge Clean Energy and 
 Environment Research Platform\, led by Prof. Victor OK Li and Dr. Jacqueli
 ne CK Lam\, have been addressing societal and healthcare problems using AI
  and big data technologies\, and advocating AI for Social Good. Large lang
 uage models (LLMs)\, such as ChatGPT\, are a type of artificial intelligen
 ce (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 t
 he driving factors.  Unfortunately\, AI is not yet fully explainable or in
 terpretable\, which can limit its usefulness in decision-makings. In addit
 ion\, 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 s
 tudy how they may be used to improve the interpretability and reliability 
 of future LLMs to make them more useful in decision-making contexts.\n\n*B
 IOs:*\n\nVictor O.K. Li received SB\, SM\, EE and ScD degrees in Electrica
 l Engineering and Computer Science from MIT.  Prof. Li is Chair of Informa
 tion Engineering and Cheng Yu-Tung Professor in Sustainable Development at
  the Department of Electrical & Electronic Engineering (EEE) at the Univer
 sity of Hong Kong (HKU).  He is the Director of the HKU-Cambridge Clean En
 ergy and Environment Research Platform\, the HKU-Cambridge AI to Advance W
 ell-being and Society Research Platform\, and the HKU-Cambridge AI for Neu
 ro-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 Technol
 ogy at Cambridge University. He was the Head of EEE\, Assoc. Dean (Researc
 h) 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 intellig
 ence (AI) company specializing in natural language processing and speech r
 ecognition.  Previously\, he was Professor of Electrical Engineering at th
 e 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 Medicin
 e\, and interdisciplinary clean energy and environment studies.  In Jan 20
 18\, he was awarded a USD 6.4M RGC Theme-based Research Project to develop
  deep learning techniques for personalized and smart air pollution monitor
 ing 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 Educatio
 n Changjiang Chair Professorship at Tsinghua University\, the UK Royal Aca
 demy of Engineering Senior Visiting Fellowship in Communications\, the Cro
 ucher 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.\n\nJa
 cqueline C.K. Lam is Associate Professor of the Department of Electrical a
 nd Electronic Engineering\, the University of Hong Kong\, also Co-Director
  of the HKU AI to Advance Well-being and Society Research Hub\, which embe
 ds 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 Visi
 ting Senior Research Fellow and Associate Researcher in Energy Policy Rese
 arch 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 Cambridg
 e (2022\, 2023). Her recent focus is on AI-driven neurodegenerative biomar
 ker identification and drug repurposing\, as well as personalized air poll
 ution monitoring and health management in relation to asthma disease. Her 
 work has been published in Nature Scientific Reports\, Nature Humanities a
 nd Social Sciences Communications\, Nature Molecular Psychiatry\, Alzheime
 r’s and Dementia\, IEEE Transactions\, Environment International\, Appli
 ed Energy\, Environmental Science and Policy\, and Energy Policy. Jacqueli
 ne has received multiple research grants awarded by the Research Grants Co
 uncil\, HKSAR Government\, including a TRS grant on AI and big data. The f
 unded 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 Acade
 my of Medicine\, United States\, in 2021 and 2022\, respectively.\n\n\n"Yo
 u can also join us on Zoom":https://cl-cam-ac-uk.zoom.us/j/92041617729
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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