AI for Health and Aging

Artificial intelligence (AI) will bring drastic improvement in global health issues. By using AI and machine learning to process and analyze big data in real-time, health experts can identify at-risk populations for various diseases such as diabetes and heart disease, enabling medical and health organizations to pinpoint specific demographics or locations where population health issues exist, and to precisely target and implement treatment and education programs.

Research Project
Virtual Therapist Platform for Negative Emotion Detection, Monitoring and Intervention in Elderly People

ITF Midstream Research Programme for Universities

Prof. Pascale Fung (PI)
Prof Bertram Shi (Co-PI)
Prof Karl Herrup (Co-PI)

AI for Education

AI technologies are changing the way we teach and learn. Education is now more accessible than in the past with the widespread usage of computers and mobile devices both inside and outside of physical classrooms. While the application of AI technologies in teaching and learning is still in its early stages, it is clear that educators and students will benefit in various ways through the advent of technologies such as personalized learning, AI lecturers, and AI based assessments.

Education pioneers need to plan for our AI-driven future and its implications for education, both in school campuses and beyond. The never-ending debates about the skillsets needed for the future and the future role of schools and teachers in the learning process are becoming more pressing in the quickly developing fields of education.

AI for Sustainability

Leveraging AI technologies, business will be able to change their focus from short-term growth to long-term sustainable and resilient growth prospects. Public-Private dialogue and partnerships will be crucial in developing long-term solutions to overcome financial barriers and to achieve sustainable governance.

Smart Campus
University’s Level 50mm Smart Campus Initiative

  • Robot receptionists around campus
  • Smart course selection recommendation system
Research Forum
Sustainable Production & Consumption

Global Research Forum in June 2019

AI for Fintech

At the dawn of the Fourth Industrial Revolution, technological advances in artificial intelligence and big data analytics are poised to disrupt every industry, including the finance industry. Hong Kong has a large financial sector that contributes 18% of its GDP and employs 220,000 people or 6% of the workforce. However, while Hong Kong is very strong in “Fin” as the premier financial center of the world, the “Tech” part has been lagging behind our regional competitors in mainland China and Singapore, in no small part due to the gap between core academic research and the transfer of such research results into applicable solutions for the finance industry. It is crucial to eliminate the gap between the fields of engineering and business for Hong Kong to develop into a regional FinTech hub.

Research Funding
Engineering the Future of Ethical FinTech with Data Analytics and AI

Theme-based Research Scheme 2018/19 (Eighth Round)

Prof. Pascale Fung (PI)
L. Chen, G. Ngai, Y. Li, Q. Yang, D. Wu, M. Zhang (Co-PIs)

AI Ethics and Governance

AI technology has the potential to amplify and exacerbate many of the risks we face today. To be sure that AI is developed and governed wisely, government and industry leaders must ensure the safety, explainability, transparency, and validity of AI applications. It is incumbent on authorities, AI researchers, technology pioneers, and AI adopters in industry alike to encourage deployments that earn trust and avoid abuse of the social contract. Achieving this requires a collaborative effort to ensure that as AI progresses, its idea of a good future is aligned to human values and encapsulates a future that is safe for humanity in all respects – its people and their planet.

  • Co-organize AI for Good Summit in 2019
    (in collaboration with Xprize, the UN, UNICEF, HK Science Park and the HKSAR government)
  • Co-organize Workshops and Seminars on East-West Philosophy on Beneficial AI
    (in collaboration with Beijing University and Cambridge University)
  • Work within Partnership on AI
    • Create a named Lab on AI Ethics and Governance
    • Create a course on AI governance with the Division of Public Policy (spring/ fall 2019)
Research Funding
Grant Theme-based Proposals

  • CRF (after 2019)
  • Central Policy Unit Grants (rolling 2-3 a year)
  • GRF, NGOs and Angels
  • The Croucher Foundation
AI for Arts and Design

There is already a great variety of software that utilizes AI and machine learning algorithms to produce creative works such as visual arts and music: from mimicking the style of an existing artist, emulating stylized movements in animations and video games, to composing entire music albums with the collaboration with human artists. In the near future, AI will evolve from being a creative partner to becoming a true creator of artworks by itself.