CCAI9034 Artificial Intelligence 
Digital Health Citizen in the Age of AI: Communicating for Health and Wellbeing

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

  • Sustaining Cities, Cultures, and the Earth (SCCE)
  • The Human Life Span (HL)

Course Description

In an era of information abundance and AI-driven content, staying healthy depends on more than biology — it depends on how we find, evaluate, and share health information. This course positions you as a “Digital Health Citizen”: active, critical, and ethical participants in today’s complex health information environment. It examines how messages, from AI-curated social media feeds to public health campaigns, shape personal choices, community wellbeing, and societal outcomes. 

The curriculum begins by building individual capabilities in health literacy and the psychology of health behaviour, then expands to societal issues like AI-amplified misinformation, algorithmic bias, and health disparities. You will learn to analyse persuasive strategies, evaluate digital content, and understand how different audiences respond to health messages. You will build these skills through case studies of real health communication scenarios and hands-on exploration of emerging technologies such as generative AI and extended reality. By the end of the course, you will be a sharper consumer of health information, a more thoughtful communicator, and better equipped to spot bias, design messages that resonate, and contribute to public conversations about health.

Course Learning Outcomes

On completing the course, students will be able to:

  1. Apply key theories of health behaviour change to analyze and explain the effectiveness of health messages across different media channels, including those utilizing artificial intelligence.
  2. Evaluate health information in digital environments by applying principles of health literacy and evidence-based criteria to identify misinformation, with a focus on AI-generated and AI-amplified content.
  3. Design culturally appropriate health messages through strategic application of framing, narrative, and audience segmentation principles, while critically considering the opportunities and limitations of AI-assisted message creation.
  4. Analyze ethical challenges in health communication, including the perpetuation of stereotypes, health disparities, and the impact of emerging technologies such as AI (e.g., algorithmic bias and data privacy).
  5. Develop personal health decision-making skills and community-oriented communication strategies that demonstrate digital health citizenship in an era of AI-assisted communication.

Offer Semester and Day of Teaching

Second semester (Wed)


Study Load

Activities Number of hours
Lectures 24
Tutorials 12
Reading / Self-study 24
Assessment: Essay / Report writing  15
Assessment: Group project  30
Assessment: Presentation (incl preparation)  15
Assessment: In-class quiz  2
Total: 122

Assessment: 100% coursework

Assessment Tasks Weighting
Group project 40
Case analysis 20
In-class quizzes 20
Weekly study questions 10
Tutorial participation 10

Required Reading


Course Co-ordinator and Teacher(s)

Course Co-ordinator Contact
Professor J. Chen
School of Future Media, Faculty of Social Sciences
Tel: 3917 4045
Email: junhanch@hku.hk
Teacher(s) Contact
Professor J. Chen
School of Future Media, Faculty of Social Sciences
Tel: 3917 4045
Email: junhanch@hku.hk