"Generative AI and Community Resilience: Lessons from Reddit and Independent Working Musicians": Generative AI is flooding online platforms with synthetic content at unprecedented scale. This talk examines how two communities are responding to this disruption: self-moderated forums on Reddit and independent working musicians. Through these case studies, I show that while both communities recognize threats from AI-generated content, they lack adequate technical detection tools, legal protections, and organizational frameworks to respond effectively. I conclude by discussing potential interventions that may help communities build resilience as generative AI proliferates. — Travis Lloyd

"Contextual Privacy in NYC Chinatown: Shoplifters, Photo Walls, and RedNote (Xiaohongshu)": Small merchants in Manhattan Chinatown sometimes post “photo walls” of alleged shoplifters as a local deterrence and community warning practice. The privacy problem is not simply that faces are displayed, but that the same images can change meaning and consequences once they travel across contexts and become searchable, persistent, and widely redistributable. AI intensifies this shift by lowering the cost of identification and circulation through face recognition, reverse search, automated scraping, and algorithmic ranking, turning a bounded, situational warning into a scalable public shaming signal. In this talk, I use Contextual Integrity (CI) to analyze how in-store photo walls operate as bounded information flows, and how those flows are transformed when photos are reposted, commented on, and rendered searchable on Xiaohongshu (RedNote), a Chinese lifestyle-oriented social media platform that blends short-form video, image posts, and recommendation feeds. — Alex Chanhou Lou