Unit 7 explores the cultural and cross-cultural aspects of human-AI mobile storytelling — how cultural values, narrative traditions, linguistic diversity, and social norms influence both the development of AI storytelling systems and the experiences of audiences from different cultural backgrounds.
Apply cross-cultural communication theory to cultural assumptions embedded in AI storytelling
Identify risks of cultural bias, homogenization, and narrative imperialism in AI platforms
Analyze design requirements for culturally responsive and linguistically inclusive AI storytelling
Apply the 3D framework to detect cultural bias patterns in AI narrative outputs
Develop culturally responsive design recommendations for cross-cultural AI storytelling
Hofstede, G. (2001). Culture's consequences (2nd ed.). SAGE. (Chapters 1–2)
Noble, S. U. (2018). Algorithms of oppression. Chapters 1–3.
Shoemaker, P. J., & Reese, S. D. (2013). Mediating the message in the 21st century. Routledge. (Chapters 1–2)
Madianou, M., & Miller, D. (2013). Polymedia. International Journal of Cultural Studies, 16(2), 169–187.
Mohamed, S., et al. (2020). Decolonial AI. Philosophy & Technology, 33(4), 659–684.
Expand each activity and click "Mark as complete" to track your progress.
600–800 word reflection: CICI documentation from Activity 7.3, 3D analysis of most significant cultural bias finding, decolonial design principle you find most essential, and 3M framework for monitoring cultural representation quality.