Unit 10 focuses on the privacy, surveillance, and data ethics aspects of human-AI mobile storytelling — how AI storytelling platforms secretly and deeply collect, analyze, monetize, and use personal user data to customize stories, boost engagement, and create commercial gain.
Apply surveillance capitalism theory and privacy frameworks to AI mobile storytelling data practices
Identify specific data collection, analysis, and monetization mechanisms in AI storytelling platforms
Evaluate the power imbalances between platforms and users in AI storytelling data relationships
Apply the 3D framework to analyze data ethics challenges in AI mobile storytelling
Design privacy-protective governance frameworks for AI mobile storytelling platforms
Zuboff, S. (2019). The age of surveillance capitalism. PublicAffairs. (Chapters 1–3, 8)
Nissenbaum, H. (2010). Privacy in context. Stanford University Press. (Chapters 1–3)
Solove, D. J. (2013). Introduction: Privacy self-management and the consent dilemma. Harvard Law Review, 126(7), 1880–1903.
Acquisti, A., et al. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514.
European Parliament. (2016). General Data Protection Regulation (GDPR). Articles 1–15.
Expand each activity and click "Mark as complete" to track your progress.
Comprehensive Privacy and Data Ethics Governance Framework for a specific AI mobile storytelling platform, including Data Ethics Analysis, Privacy-by-Design System, Consent Architecture, and CICI Privacy Design Appendix.