CCAI9025 Artificial Intelligence
AI-driven Robotics for Humankind


Course Description

Since the dawn of the Industrial Revolution, robots have become an increasingly integral part of our society and daily lives. With each stride in robot technology, tasks that were once solely within human capability are now effortlessly executed by robotic counterparts, heralding a new era of efficiency and innovation. In an era marked by the swift evolution of AI, robotics is experiencing unprecedented growth and innovation. 

The course will focus on the role of robotics in our society, considering its practical and potential uses and how it can dramatically revolutionize our society. Throughout this course, we will delve into a series of fundamentals at the heart of this technological revolution and try to answer several key questions, such as: How do robots play an essential role across diverse sectors? How do robots contribute to the Hong Kong community and society at large? What groundbreaking horizons lie ahead as we stride towards the future alongside robots? 

This course is fundamentally transdisciplinary and designed for students new to robotics and AI. This course does not assume previous knowledge.

[Two optional 1-day fieldtrips in Hong Kong and Shenzhen (tentative) will be arranged in Reading Week.]

Course Learning Outcomes

On completing the course, students will be able to:

  1. Recount the history and facts of the effect of robotics on human society, and analyse the future impact of AI-driven robotics on human society in the long term.
  2. Compare various robotics applications and AI technologies based on the advantages and disadvantages not only from technical aspects but also from the perspective of humans and society.
  3. Apply robotics in specific implementations, predict the societal impact, locally and globally, on such implementations, and demonstrate such implementations and impacts to the public.
  4. Plan their future career paths as different societal roles I robotics-related sectors.

Offer Semester and Day of Teaching

Second semester (Sat)


Study Load

Activities Number of hours
Lectures 24
Tutorials 12
Fieldwork / Visits 8
Reading / Self-study 20
Assessment: Essay writing 10
Assessment: Fieldtrip reflection  10
Assessment: Presentation (incl preparation) 15
Assessment: Group project (incl preparation) 25
Total: 124

Assessment: 100% coursework

Assessment Tasks Weighting
Assignments 10
Essay 20
Participation in classroom activities 20
Group project and presentation 30
Field trip report  20

Required Reading

  • Benaich, N., & Chalmers, A. (2024). State of AI report 2024. From https://www.stateof.ai/
  • Bennett, M. S. (2023). A brief history of intelligence: evolution, AI, and the five breakthroughs that made our brains. Mariner Books. [Chap. 22 “ChatGPT and the window into the mind”]
  • Prince, S. J. (2023). Understanding deep learning. MIT Press. [Chap. 20 “Why does deep learning work?”; Chap. 21 “Deep learning and ethics”]
  • Siciliano, B., et al. (2009). Robotics, modelling, planning and control. Springer. [Chap. 1 “Introduction”]
  • Stone, P., et al. (2022). Artificial intelligence and life in 2030. Stanford University. From https://ai100.stanford.edu/sites/g/files/sbiybj18871/files/media/file/ai100report10032016fnl_singles.pdf

Required Viewing

Required Listening


Course Co-ordinator and Teacher(s)

Course Co-ordinator Contact
Professor H. Li
School of Computing and Data Science
Tel: 3917 3135
Email: hongyang@hku.hk
Teacher(s) Contact
Professor H. Li
School of Computing and Data Science
Tel: 3917 3135
Email: hongyang@hku.hk
Professor Y. Ma
School of Computing and Data Science
Tel: 3910 2323
Email: mayi@hku.hk
Professor P. Luo
School of Computing and Data Science 
Tel: 2859 2190
Email: pluo@hku.hk