Description
Instructor(s)/Supervisor(s)/Coordinator(s): Yunya SONGThis interdisciplinary course offers research postgraduate students a rigorous foundation for critically engaging with the evolving relationship between humans and generative AI systems within global media and cultural industries. As generative tools such as ChatGPT, Claude, BLOOM, Gemini, and MidJourney become increasingly embedded in journalism, entertainment, creative production, heritage archiving, and digital storytelling, the study of Human–AI Interaction (HAII) has emerged as a vital area of inquiry across communication, design, ethics, and cultural studies. The course investigates how individuals and institutions interact with generative AI—how they prompt, interpret, co-create, negotiate meaning, and assess value alignment across diverse cultural and platform contexts. Students will engage with both foundational theories and emerging research in Human-Computer Interaction and Interaction Design, with a particular emphasis on the cognitive, social, cultural, and ethical dimensions of generative AI. Through thematic lectures, global case discussions, reflection labs, and applied research clinics, students will explore key topics including: 1. Cultural adaptation and misalignment in large language models (LLMs). 2. Narrative agency and AI co-authorship in media and creative production. 3. Emotional labor and synthetic identity in AI-mediated communication. 4. Bias, authenticity, and ethics in AI-generated cultural content. 5. Platform governance and the politics of generative content moderation. The course also emphasizes empirical research design methodologies tailored to communication and media studies, enabling students to translate theoretical insights into researchable questions and applied frameworks. No technical background is required. Students will emerge with the conceptual, methodological, and practical competencies to integrate HAII into their interdisciplinary research agendas.