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This talk will survey the intersection of artificial intelligence (AI), ethics, and the Humanities in the UK. It integrates insights from bibliometric analyses, interviews with various stakeholders, and reviews of existing research infrastructure and policies. The talk examines the current state of AI ethics research in the UK, identifying the contributions of the Arts and Humanities, the obstacles researchers face, and the potential impacts of their work. It also considers the international research environment and strategic investments made by other countries in AI and ethics, drawing comparisons with the UK's approach. Opportunities and threats are identified within the context of academia, public perception, and commerce, including the impacts of AI on diverse populations and industries. The talk will conclude by considering how the situation in the UK may compare with that in Hong Kong.
Event date: 30/04/2024
Speaker: Prof. Tony MCENERY (Shanghai International Studies University)
Hosted by: Faculty of Humanities
- Subjects:
- Philosophy and Computing
- Keywords:
- Artificial intelligence -- Philosophy Great Britain Artificial intelligence -- Moral ethical aspects
- Resource Type:
- Video
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Video
The lecture commenced with a welcome speech and speaker introduction by Prof. CHEN Qingyan, Director of PAIR, followed by a presentation by Prof. Cui. He first shared his scientific journey by reminiscing about the old days when he moved abroad to develop an academic career after graduating in China and gradually became a highly successful scientist. Next, he explained the importance of interdisciplinary research and shared how the combination of medical science and engineering enables the development of health technologies such as imaging, keyhole surgery, in vitro diagnostics, in vitro fertilisation, etc. Prof. Cui emphasised that scientists are to “discover” and find out “how a thing happens” whereas engineers are to “create” and “make things happen”. He then gave some advice on how to do well in interdisciplinary research and shared some innovations in microbioreactor and point-of-care testing developed by him and his team which has achieved great success in research commercialisation and made significant contributions to drug discovery and public health. To conclude, Prof. Cui shared that scientific success is based on many factors, including team, facilities, timing, luck, etc., and encouraged the next generation of engineers and scientists to consider a career in biomedical engineering, an exciting and rewarding domain.
Following the lecture, a lively and insightful question-and-answer session was moderated by Ir Prof. ZHANG Ming, Director of the Research Institute for Sports Science and Technology (RISports), Head of the Department of Biomedical Engineering and Chair Professor of Biomechanics. The audience had fruitful discussions with Prof. Cui.
Event date: 23/04/2024
Speaker: Prof. Zhanfeng CUI (University of Oxford)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Interdisciplinary research Interdisciplinary approach in education
- Resource Type:
- Video
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Video
Prof. Alex MIHAILIDIS, Associate Vice President of International Partnerships at the University of Toronto delivered the 19th PAIR Distinguished Lecture titled “The Future of Elder Care: Integrating Large Language Models” on 26 April 2024. The lecture attracted about 100 participants to join in person and captivated an online viewing audience of over 14,100 from different countries and regions to watch the live broadcast on multiple social media platforms, including Bilibili, WeChat, Weibo, YouTube, etc.
The lecture commenced with a welcome speech and speaker introduction by Prof. ZHENG Yongping, Director of the Research Institute for Smart Ageing (RISA), followed by an engaging presentation by Prof. Mihailidis. The content materials used in Prof. Mihailidis’s presentation were generated by ChatGPT, while he added the narrative.
In his presentation, Prof. Mihailidis first played several videos created by artificial intelligence (AI) to introduce what LLM is, how it can support elderly care services, some drawbacks of using LLM, and its future development. He supplemented that LLMs are advanced AI systems capable of understanding and generating human-like texts, as well as visual outputs and models that can respond to or interact with users. Next, Prof. Mihailidis outlined the specific benefits of using LLMs in elderly care, including the support tools and resources they offer to caregivers. He then delved into the ethical considerations and challenges in LLM design, such as privacy concerns, the risk of over-dependence on technology, and the barriers to technology adoption by older adults and their caregivers. To conclude, Prof. Mihailidis emphasised the role of empathetic and emotionally-intuitive AI in enhancing the quality of life for the elderly and supporting the caregiving ecosystem.
Following the presentation was a lively and insightful question-and-answer session moderated by Ir Prof. Zheng. The audience had a fruitful discussion with Prof. Mihailidis. A souvenir was presented by Prof. CHEN Qingyan, Director of PAIR, to thank Prof. Mihailidis for his excellent presentation and support to PAIR.
Event date: 26/04/2024
Speaker: Prof. Alex MIHAILIDIS (University of Toronto)
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Social Work and Human Services and Computing
- Keywords:
- Older people -- Care Natural language generation (Computer science) Artificial intelligence Technological innovations
- Resource Type:
- Video