A two-hour interactive workshop on “Working with Generative AI for Communication” was successfully delivered for students of BJC3216 – Communication and Artificial Intelligence, taught by Dr Janice Wong (School of Communication).
Facilitated by colleagues from the Centre for Teaching and Learning (Digital Learning Section), the session introduced Generative AI as a creative and reflective partner, rather than a replacement for human judgement. Through a combination of music, text, and image-based examples, students explored how AI generates content, where its limitations lie, and how ethical bias can emerge in everyday outputs.
Key learning activities included:
Comparing AI-generated and human-centred creativity, highlighting their complementary roles
Examining implicit bias in image generation, using simple prompts to surface issues of representation and stereotypes
Discussing why bias in text-based AI outputs is often harder to detect, yet more easily accepted
Introducing the C.R.A.F.T prompting framework to support more intentional, reflective, and responsible use of AI in communication tasks
The workshop emphasised that while AI often generates what is socially acceptable, meaningful communication requires human experience, values, and vision. Students were encouraged to critically question AI outputs and to reflect on their own responsibility when using Generative AI in academic and professional contexts.
