CCAI9024 Artificial Intelligence
Generative AI and the Future of Creativity

This course is under the thematic cluster(s) of:

  • Creative Arts (CA)

Course Description

Generative AI (GenAI) is revolutionizing the future of creativity across nearly every domain—from writing and illustration to music composition and filmmaking. Easily transforming natural language into vivid and high-quality content, GenAI demonstrates remarkable efficiency and accessibility, offering advanced creative capability to everyone. Moreover, GenAI is growing at an unprecedented pace, with new techniques and tools emerging almost daily. This transformative moment presents both extraordinary opportunities and complex challenges for individuals and industries alike. This course immerses students in the rapidly evolving world of GenAI through a dynamic blend of intuitive technical demonstrations, hands-on creative projects, thought-provoking discussions on its societal and artistic impact, and guest lectures from pioneering GenAI artists. This course thus provides a unique opportunity to explore the intersection of technology and creativity. Equipped with fresh insights and practical experience, students will gain a comprehensive understanding of how GenAI is reshaping the creative landscape, inspiring them to embrace this transformative journey.

Course Learning Outcomes

On completing the course, students will be able to:

  1. Demonstrate an understanding of the basic technical details behind important Generative AI models.
  2. Apply new Generative AI tools to create content in the form of text, images, or videos.
  3. Create and make innovative Generative AI workflows to enhance the efficiency and accessibility of creative activities.
  4. Build awareness of the opportunities and challenges of creative activities and industries brought by Generative AI.
  5. Analyze the impact of Generative AI to creative activities and industries.

Offer Semester and Day of Teaching

First semester (Sat)


Study Load

Activities Number of hours
Lectures 24
Tutorials 9
Reading / Self-study 36
Assessment: Assignments 21
Assessment: Group project presentation (incl preparation) 48
Total: 138

Assessment: 100% coursework

Assessment Tasks Weighting
Group project and presentation 50
Individual assignments 30
Participation in classroom activities 20

Required Reading / Viewing


Course Co-ordinator and Teacher(s)

Course Co-ordinator Contact
Professor B. Dai
Institute of Data Science
Tel: 3917 3135
Email: bdai@hku.hk
Teacher(s) Contact
Professor B. Dai
Institute of Data Science
Tel: 3917 3135
Email: bdai@hku.hk